SlideShare une entreprise Scribd logo
1  sur  19
A STATISTICAL RESEARCH PAPER
Submitted to
Mr. Marcelo C. Mendoza
In partial Fulfillment to the requirements
In Math 22
Submitted by
Jeramiah E. Faciol
BSBA-Bangking & Finance
103I / 9:00-10:30am / M/W
The Race for 2013 Senatorial Election
Rationale: As I approach the May 2010 election. Our group conducted a quick survey to test the Filipinos’
maturity and integrity in choosing their candidates in our democratic institution. Thus, this project will try to
determine the bet of some of our fellow countrymen for the presidential race in the May 2010 election.
Statement of the Problem: The aim of this first term statistical research project is to find out who is JRU
students’ choice for president in 2010. Specifically, it will try to find the following:
1] The profile of the respondents according to
a] gender
b] age
2] JRU students’ choice for president
3] Male JRU students’ choice for president
4] Female JRU students’ choice for president
5] JRU students’ perception of their candidates’ chance of winning the presidency in the 2010 election
6] Male JRU students’ perception of their candidate’s chance of winning the presidency in the 2010 election
7] Female JRU students’ perception of their candidate’s chance of winning the presidency in the 2010 election
8] JRU students’ degree of optimism that their choice for president can make a difference in the lives of Filipino
people
9] Male JRU students’ degree of optimism that their choice for president can make a difference in the lives of
Filipino people
10] Female JRU students’ degree of optimism that their choice for president can make a difference in the lives
of Filipino people
11] If there is a significant difference on the degree of optimism between male & female JRU students that their
choice for president can make a difference on the lives of Filipino people
12] If there is a significant difference on the proportion of votes garnered by ESCUDERO & VILLAR as the
JRU students’ choice for president
Hypotheses Tested:
The following hypotheses were tested at 0.05 level of significance:
1] Hypothesis on mean: Our group wants to know if there is a significant difference on the average degree of
optimism between male and female respondents that their choice for president can make a difference on the
lives of Filipino people.
Ho: µEscudero = µVillar; There is no significant difference on the average degree of optimism between JRU
male and female students that their choice for president can make a difference on the lives of Filipino people.
Ha: µEscudero ≠ µVillar; There is a significant difference on the average degree of optimism between JRU
male and female students that their choice for president can make a difference on the lives of Filipino people.
2] Hypothesis on proportion: Our group wants to know if there is a significant difference on the average degree
of optimism between male and female respondents that their choice for president can make a difference on the
lives of Filipino people.
Ho: PEscudero = PVillar; The proportion of votes garnered by Escudero and Villar are equal.
Ha: PEscudero ≠ PVillar; The proportion of votes garnered by Escudero is significantly higher than the
proportion of votes garnered by Villar.
Population and Sample: The population in this research is JRU students who are enrolled this first semester SY
2008-09. Our group has estimated JRU for having 22,000 students enrolled this first semester of SY 2009-10.
Using Slovin’s formula and a 5% margin of error, the required number of samples is 393. (Please see
computation below.) But our professor only required us to gather 200 samples, but our group managed to gather
up to 250 samples. Our group decided to use random sampling. Thus our samples are 115 randomly selected
male and 135 randomly selected female UE students.
Computation for n at e = 5%
=
+
= 2
)05(.000,221
000,22
n
n = 392.86 or 393
Sampling and Data Gathering Techniques: Our group used simple random sampling in choosing the 250 sample
respondents in this research. We also utilized the indirect or questionnaire method. The group distributed 250
questionnaires from June 25 to July 2 to UE students around the campus. Our group had contacts inside the UE
campus, thus making things easier to get in touch with UE students. Having only 3 members in the group the
group divided the questionnaires into 3, with 2 members having 75 questionnaires each and 1 member having
100 questionnaires. From June 25 to July 2 our group would drop by UE to randomly give out survey
questionnaires to UE students, and with the help of our contacts in UE, our group was able to have access inside
the UE campus, thus giving the group more respondents for the survey.
Research Design: Our research is descriptive comparative since we will be comparing the responses of male and
female UE students.
Questionnaire: The questionnaire is composed of three items. The 1st
item asks the respondents about their
choice for president in 2010. The 2nd
item asks about their choice’s chances of winning the presidency. The last
item is a likert scale composed of five statements which try to assess the respondent’s degree of optimism that
their choice for president can make a difference on the lives of Filipino people.
Processing of data: Below is a table which summarizes the research procedure.
Statements & hypotheses Data gathered Statistical Tools
1] the profile of respondents
according to gender and age
Number of male & female
respondents, Ages of respondents
Rank and percentage analysis
Analysis of Measures of central
tendency and variability, skewness &
kurtosis
2] UE students’ choice for
president
Number of votes for each candidate Rank and Percentage analysis
3] male UE students’ choice for
president
Number of votes for each candidate
from male respondents
Rank and Percentage analysis
4] female UE students’ choice
for president
Number of votes for each candidate
from female respondents
Rank and Percentage analysis
5] UE students’ perception of
their candidates’ chance of
winning the presidency in the
2010 election
Mean and standard deviation Rank and Percentage analysis
6] Male UE students perception
of their candidates’ chance of
winning the presidency in the
2010 election
Mean and standard deviation Rank and Percentage analysis
7] Female UE students
perception of their candidates’
chance of winning the
presidency in the 2010 election
Mean and standard deviation Rank and Percentage analysis
8] UE students’ degree of
optimism that their choice for
president can make a difference
in the lives of Filipino people
Mean and standard deviation Mean & standard deviation analysis
9] Male UE students’ degree of
optimism that their choice for
president can make a difference
in the lives of Filipino people
Mean and standard deviation Mean & standard deviation analysis
10] Female UE students’ degree
of optimism that their choice for
president can make a difference
in the lives of Filipino people
Mean and standard deviation Mean & standard deviation analysis
11] if there is a significant
difference on the degree of
optimism between male &
female UE students that their
choice for president can make a
difference on the lives of
Filipino people
Mean and standard deviation of the
responses of male and female
respondents
t-test for testing the significance of
difference between means
12] if there is a significant
difference on the proportion of
votes garnered by ESCUDERO
& VILLAR as UE students’
choice for president.
Number of votes garnered by
Escudero & Villar.
Z-test for testing the significance of
difference between proportions
Presentation, Analysis, Findings and Conclusions: The following presentations are the results of our careful
analysis on the responses of the 250 UE students who participated in our research.
Statement 1: Profile of respondents:
Findings: 54% of respondents are female while 46% are male.
Conclusion: Majority of the respondents are female.
Table 1: Profile of Male respondents according to Age
Findings: 26.0870% of Male respondents are 20 years of age.
Conclusions: The modal age of the male respondents is 20.
Age Frequenc
y
Percentage Frequency
16 1 0.8696
17 7 6.0870
18 15 13.0435
19 16 13.9130
20 30 26.0870
21 13 11.3044
22 7 6.0870
23 12 10.4348
24 6 5.2174
25 2 1.7391
26 1 0.8696
28 1 0.8696
31 2 1.7391
33 1 0.8696
35 1 0.8696
Total N = 115
Figure1: Profile of respondents according to
gender
Table 2: Profile of Female respondents according to Age
Age Frequency Percentage Frequency
16 5 3.7037
17 7 5.1852
18 13 9.6296
19 21 15.5556
20 45 33.3333
21 20 14.8148
22 4 2.9630
23 10 7.4074
24 3 2.2222
25 3 2.2222
27 2 1.4815
28 2 1.4815
Total N=135
Findings: 33.3333% of Female respondents are 20 years of Age.
Conclusion: The modal age of the male respondents is 20.
Table 3: Profile of Total respondents according to Age
Age Frequency Percentage Frequency
16 6 2.4
17 14 5.6
18 28 11.2
19 37 14.8
20 75 30
21 33 13.2
22 11 4.4
23 22 8.8
24 9 3.6
25 5 2
26 1 0.4
27 2 0.8
28 3 1.2
31 2 0.8
33 1 0.4
35 1 0.4
Total N=250
Findings: 30% of the total respondents are 20 years of Age.
Conclusion: The modal age of the total respondents are 20 years of Age.
Below is the printout of the descriptive statistics of the ages of male and female respondents.
Male Female
Mean 20.7826087 Mean 20.2
Standard Error 0.29170652 Standard Error
0.19467766
2
Median 20 Median 20
Mode 20 Mode 20
Standard
Deviation
3.12820392
6
Standard
Deviation
2.26195002
4
Sample Variance
9.78565980
2 Sample Variance 5.11641791
Kurtosis
5.89889390
3 Kurtosis
2.05959491
6
Skewness
2.01973576
6 Skewness
1.01619418
7
Range 19 Range 12
Minimum 16 Minimum 16
Maximum 35 Maximum 28
Sum 2390 Sum 2727
Count 115 Count 135
Findings: A: Measures of Central Tendency
1] The mean age of male is 21 while that of the female is 20.
2] The median age of male is 20 while that of the female is
also 20.
3] The modal age of male is 20 while that of the female is
also 20.
Conclusions:
The mean age of male is higher by 1 which is
21. This makes the male group older than the
female. The median and modal age of both
male and female are just the same.
Findings: B: Measures of Variability
1] The range of the male age is 19 while that of the female is
12.
2] The standard deviation of the male age is 3.13 while that
of the female is 2.26.
3] The variance of the male age is 9.79 while that of the
female is 5.12.
Conclusions:
The standard deviation and variance of the age
of male is higher than that of the female age.
This means that the age of male are more
dispersed than the age of female.
Findings: C: Skewness & Kurtosis
1] The coefficient of skewness of male age is 2.019735766
while that of the female is 1.016194187
2] The coefficient of kurtosis of the male age is 5.898893903
while that of the female is 2.059594916.
3] Below are the sketches of the graphs of the ages of male
and female respondents:
Male:
Female:
Conclusions:
The Coefficient of skewness of both male and
female are skewed to the right. The Coefficient
of Kurtosis on both male and female are taller
than normal.
Findings: D: Other Statistics
1] The minimum age of male is 16 while that of the female is
also 16.
2] The maximum age of male is 35 while that of the female
Conclusions:
Both male and female have the minimum ago
of 16 bat the maximum age, male is higher
which is 35 and only 28 for the female.
is 28.
Table4: Profile of respondents according to gender
Statement 2: UE students’ [male & female] choice for president
36%
11%10%
10%
10%
6%
5%
5% 5% 2%0%
Escudero
Villar
Binay
De Castro
Roxas
Legarda
Fernando
Estrada
Gordon
Lacson
Panlilio
Figure2: UE students’ choice for President.
The tables which follow below show the votes of each candidate arranged according to ranks.
Table 4: Ranks of candidates (male & female votes)
Candidate No. of Votes Percentage Frequency Rank
Escudero, Chiz 90 36 1
Villar, Manny 28 11.2 2
Binay, Jejomar 25 10 4
De Castro, Noli 25 10 4
Roxas, Mar 25 10 4
Legarda, Loren 14 5.6 6
Fernando, Bayani 13 5.2 7
Estrada, Erap 12 4.8 8.5
Gordon, Dick 12 4.8 8.5
Lacson, Ping 5 2 10
Panlilio, Ed 1 0.4 11
Total: 250
Findings: This shows that Escudero is UE students’ choice for president in the May 2010 election.
Conclusion: If this trend will continue, then Escudero will win the 2010 election among UE students.
Statement 3: Male UE students’ choice for president
32%
13%
10%
10%
9%
8%
7%
5% 3% 2%1%
Escudero
Villar
De Castro
Roxas
Estrada
Fernando
Binay
Legarda
Gordon
Lacson
Panlilio
Figure 3: Male UE students’ choice for President.
Table 4: Ranks of candidates (male votes)
Candidate No. of Votes Percentage Frequency Rank
Escudero, Chiz 37 32.17391 1
Villar, Manny 15 13.04348 2
De Castro, Noli 12 10.43478 3
Roxas, Mar 11 9.565217 4
Estrada, Erap 10 8.695652 5
Fernando, Bayani 9 7.826087 6
Binay, Jejomar 8 6.956522 7
Legarda, Loren 6 5.217391 8
Gordon, Dick 4 3.478261 9
Lacson, Ping 2 1.73913 10
Panlilio, Ed 1 0.869565 11
Total: 115
Findings: Escudero garnered the most number of votes from the UE male students’.
Conclusion: This shows that Escudero is male UE students’ choice for the May 2010 election.
Statement4: Female UE students’ choice for president.
39%
13%10%
10%
10%
6%
6% 3% 2% 1%0%
Escudero
Binay
Roxas
De Castro
Villar
Gordon
Legarda
Fernando
Lacson
Estrada
Panlilio
Figure 4: Female UE students’ choice for President.
Table 5: Ranks of candidates (female votes)
Candidate No. of Votes Percentage Frequency Rank
Escudero, Chiz 53 39.25926 1
Binay, Jejomar 17 12.59259 2
Roxas, Mar 14 10.37037 3
De Castro, Noli 13 9.62963 4.5
Villar, Manny 13 9.62963 4.5
Gordon, Dick 8 5.925926 6.5
Legarda, Loren 8 5.925926 6.5
Fernando, Bayani 4 2.962963 8
Lacson, Ping 3 2.222222 9
Estrada, Erap 2 1.481481 10
Panlilio, Ed 0 0 11
Total: 135
Findings: Escudero garnered the most number of votes from the UE female students’.
Conclusion: This shows that Escudero is female UE students’ choice for the May 2010 election.
Statement 5: UE students’ perception of their candidates’ chance of winning the presidency in the 2010
election.
Below is the mean interpretation used:
1.0 - 1.7 No Chance of Winning
1.8 - 2.5 Slim Chance of Winning
2.6 - 3.3 50/50 Chance of Winning
3.4 - 4.1 Good Chance of Winning
4.2 - 5.0 Sure Winner
Table6: Percentage chance of winning the election [Male & Female]
Candidate Sure
Winner
(4)
Good
Chance
(3)
50/50
Chance
(2)
Slim
Chance
(1)
No
Chance
(0)
Mean Mean Interpretation
Escudero, Chiz 4 68 15 3 0 2.81 50/50 Chance of Winning
Villar, Manny 2 21 3 1 1 2.79 50/50 Chance of Winning
Binay, Jejomar 1 12 11 1 0 2.52 Slim Chance of Winning
De Castro, Noli 7 12 6 0 0 3.04 50/50 Chance of Winning
Roxas, Mar 2 18 4 1 0 2.84 50/50 Chance of Winning
Legarda, Loren 1 10 3 0 0 2.86 50/50 Chance of Winning
Fernando, Bayani 0 1 8 4 0 1.77 Slim Chance of Winning
Estrada, Erap 3 9 0 0 0 3.25 50/50 Chance of Winning
Gordon, Dick 1 7 3 1 0 2.67 50/50 Chance of Winning
Lacson, Ping 0 2 2 1 0 2.2 Slim Chance of Winning
Panlilio, Ed 0 0 1 0 0 2 Slim Chance of Winning
Findings: Escudero,Villar, De Castro, Roxas, Legarda, Estrada and Gordon all got a mean score between 2.6 -
3.3 and is equivalent to the mean interpretation 50/50 chance of winning. While Binay, Fernando, Lacson and
Panlilio all got a mean score between 1.8 - 2.5 and is equivalent to the mean interpretation slim chance of
winning.
Conclusion: UE students perceived that Escudero,Villar, De Castro, Roxas, Legarda, Estrada and Gordon has a
50/50 chance of winning the 2010 election. While Binay, Fernando, Lacson and Panlilio has a slim chance of
winning the 2010 election.
Statement 6: Male UE students’ perception of their candidates’ chance of winning the presidency in the 2010
election
Table 7: Male UE students’ perception of their candidates’ chance of winning the presidency in the 2010
election.
Candidate Sure
Winner
(4)
Good
Chance
(3)
50/50
Chance
(2)
Slim
Chance
(1)
No
Chance
(0)
Mean Mean Interpretation
Escudero, Chiz 0 27 8 2 0 2.68 50/50 Chance of Winning
Villar, Manny 0 11 3 0 1 2.6 50/50 Chance of Winning
De Castro, Noli 2 6 4 0 0 2.83 50/50 Chance of Winning
Roxas, Mar 0 9 2 0 0 2.82 50/50 Chance of Winning
Estrada, Erap 3 7 0 0 0 3.3 50/50 Chance of Winning
Fernando, Bayani 0 1 4 4 0 1.67 No Chance of Winning
Binay, Jejomar 0 4 3 1 0 2.38 Slim Chance of Winning
Legarda, Loren 0 5 1 0 0 2.83 50/50 Chance of Winning
Gordon, Dick 0 1 2 1 0 2 Slim Chance of Winning
Lacson, Ping 0 1 1 0 0 2.5 Slim Chance of Winning
Panlilio, Ed 0 0 1 0 0 2 Slim Chance of Winning
Findings: Escudero, Villar, De Castro, Roxas, Estrada and Legarda all got a mean score between 2.6 - 3.3 and
is equivalent to the mean interpretation 50/50 chance of winning. Binay, Gordon, Lacson and Panlilio all got a
mean score between 1.8 - 2.5 and is equivalent to the mean interpretation slim chance of winning. Fernando got
a mean score of 1.67 and is equivalent to the mean interpretation no chance of winning
Conclusion: Male UE students’ perceived that Escudero, Villar, De Castro, Roxas, Estrada and Legarda has a
50/50 chance of winning the election. And Binay, Gordon, Lacson and Panlilio has a slim chance of winning
the election. While Fernando has no chance of winning the election.
Statement 7: Female UE students’ perception of their candidates’ chance of winning the presidency in the 2010
election
Table 8: Female UE students’ perception of their candidates’ chance of winning the presidency in the 2010
election.
Candidate Sure
Winner
(4)
Good
Chance
(3)
50/50
Chance
(2)
Slim
Chance
(1)
No
Chance
(0)
Mean Mean Interpretation
Escudero, Chiz 4 41 7 1 0 2.91 50/50 Chance of Winning
Binay, Jejomar 1 8 8 0 0 2.59 50/50 Chance of Winning
Roxas, Mar 2 9 2 1 0 2.86 50/50 Chance of Winning
De Castro, Noli 5 6 2 0 0 3.23 50/50 Chance of Winning
Villar, Manny 2 10 0 1 0 3 50/50 Chance of Winning
Gordon, Dick 1 6 1 0 0 3 50/50 Chance of Winning
Legarda, Loren 1 5 2 0 0 2.88 50/50 Chance of Winning
Fernando, Bayani 0 0 4 0 0 2 Slim Chance of Winning
Lacson, Ping 0 1 1 1 0 2 Slim Chance of Winning
Estrada, Erap 0 2 0 0 0 3 50/50 Chance of Winning
Findings: Escudero, Binay, Roxas, De Castro, Villar, Gordon, Legarda and Estrada all got a mean score
between 2.6 - 3.3 and is equivalent to the mean interpretation 50/50 chance of winning. While Fernando and
Lacson got mean scores ranging from 1.8 - 2.5 and is equivalent to the mean interpretation slim chance of
winning.
Conclusion: Female UE students’ perceived that Escudero, Binay Roxas, De Castro, Villar, Gordon, Legarda
and Estrada will have a 50/50 chance of winning the 2010 election. While Fernando and Lacson will have a
slim chance of winning the election.
Statement 8: UE students’ degree of optimism that their choice for president can make a difference in the lives
of Filipino people.
Below is the mean interpretation used:
2.0 - 1.7 Very pessimistic that s/he can make a difference
1.8 - 2.5 Pessimistic that s/he can make a difference
2.6 - 3.3 Not sure if s/he can make a difference
3.4 - 4.1 Optimistic s/he can make a difference
4.2 - 5.0 Very optimistic s/he can make a difference
Table 9: Combined responses of UE Male & Female respondents.
Statement 5 4 3 2 1 Mean SDev.
Mean
Interpretation
1] My candidate can eradicate graft &
corruption in government.
48 90 80 22
1
0
3.58 1.02 Optimistic
2] My candidate can alleviate poverty.
35
10
4
82 22 7 3.55 0.94 Optimistic
3] My candidate can restore trust in
government.
67 97 60 20 6 3.80 1.00 Optimistic
4] My candidate can improve the
economy.
61
10
3
57 21 8 3.75 1.02 Optimistic
5] My candidate can solve the
insurgency.
37 97 90 18 8 3.55 0.94 Optimistic
Total/Grand Mean/Sd
24
8
49
1
36
9
10
3
3
9
3.64 0.99 Optimistic
Findings: UE students are optimistic that if Escudero will win, corruption will be solved, poverty can be
eradicated, trust in government can be restored, the economy will improve, and insurgency can be solved.
Overall, they are optimistic that their candidate will make a difference in the lives of the Filipino people.
Conclusions: UE students are optimistic that if Escudero wins he can make a difference in the lives of the
Filipino people.
Statement 9: UE Male students’ degree of optimism that their choice for president can make a difference in the
lives of Filipino people.
Table 10: Responses of UE Male respondents.
Statement 5 4 3 2 1 Mean SDev
Mean
Interpretation
1] My candidate can eradicate graft &
corruption in government.
23 39 33
1
5
5 3.52 1.09 Optimistic
2] My candidate can alleviate poverty.
18 41 41
1
1
4 3.50 0.99 Optimistic
3] My candidate can restore trust in
government.
32 46 22
1
1
4 3.79 1.06 Optimistic
4] My candidate can improve the
economy.
25 47 26
1
1
6 3.64 1.09 Optimistic
5] My candidate can solve the
insurgency.
17 37 46 8 7 3.43 1.03 Optimistic
Total/Grand Mean/Sd
11
5
21
0
16
8
5
6
2
6
3.58 1.05 Optimistic
Findings: Male UE respondents are optimistic that if Escudero will win, corruption will be solved, poverty can
be eradicated, trust in government can be restored, the economy will improve, and insurgency can be solved.
Overall, they are optimistic that Escudero will make a difference in the lives of the Filipino people.
Conclusions: Male UE students are optimistic that Escudero can make a difference in the lives of the Filipino
people.
Statement 10: UE Female students’ degree of optimism that their choice for president can make a difference in
the lives of Filipino people
Table 11: Responses of UE Female respondents.
Statement 5 4 3 2 1 Mean SDev
Mean
Interpretation
1] My candidate can eradicate graft &
corruption in government.
25 51 47 7 5 3.62 0.97 Optimistic
2] My candidate can alleviate poverty.
17 63 41
1
1
3 3.59 0.89 Optimistic
3] My candidate can restore trust in
government.
35 51 38 9 2 3.8 0.95 Optimistic
4] My candidate can improve the
economy.
36 56 31
1
0
2 3.84 0.95 Optimistic
5] My candidate can solve the
insurgency.
20 60 44
1
0
1 3.65 0.85 Optimistic
Total/Grand Mean/Sd
13
3
28
1
20
1
4
7
1
3
3.70 0.93 Optimistic
Findings: Female UE respondents are optimistic that if Escudero will win, corruption will be solved, poverty
can be eradicated, trust in government can be restored, the economy will improve, and insurgency can be
solved. Overall, they are optimistic that Escudero will make a difference in the lives of the Filipino people.
Conclusion: Female UE students are optimistic that Escudero can make a difference in the lives of the Filipino
people.
Statement 11: if there is a significant difference on the degree of optimism between male & female UE students
that their choice for president can make a difference on the lives of Filipino people.
Below is the PHStat printout for testing the significance of difference between mean responses of male and
female respondents.
Data
Hypothesized Difference 0
Level of Significance 0.05
Population 1 Sample
Sample Size 115
Sample Mean 3.58
Sample Standard Deviation 1.05
Population 2 Sample
Sample Size 135
Sample Mean 3.7
Sample Standard Deviation 0.93
Intermediate Calculations
Population 1 Sample Degrees of
Freedom 114
Population 2 Sample Degrees of
Freedom 134
Total Degrees of Freedom 248
Pooled Variance 0.974119
Difference in Sample Means -0.12
t-Test Statistic -0.95812
Two-Tailed Test
Lower Critical Value -1.96958
Upper Critical Value 1.969576
p-Value 0.338934
Do not reject the null hypothesis
Following is the 5-step solution:
1] Ho: µMale = µFemale; There is no significant difference on the degree of optimism between male and
female UE students that their choice for president can make a difference on the lives of Filipino people.
Ha: µMale ≠ µFemale; There is a significant difference on the degree of optimism between male and female
UE students that their choice for president can make a difference on the lives of Filipino people.
2] 05.0=α ; p-Value = 0.338934
3] Decision Rule: Reject Ho if p-Value(0.338934) < α(0.05)
4] Decision: Do no reject Ho because p-Value(0.338934) > α(0.05)
5] Conclusion: There is no significant difference on the degree of optimism between male and female UE
students that their choice for president can make a difference on the lives of Filipino people.
Statement 12: if there is a significant difference on the proportion of votes garnered by Escudero & Villar as UE
students’ choice for president.
Below is the PHStat printout for testing the significance of difference between the number of votes garnered by
Escudero and Villar as the respondents 1st
choice for president.
Data
Hypothesized Difference 0
Level of Significance 0.05
Group 1
Number of Successes 90
Sample Size 250
Group 2
Number of Successes 28
Sample Size 250
Intermediate Calculations
Group 1 Proportion 0.36
Group 2 Proportion 0.112
Difference in Two Proportions 0.248
Average Proportion 0.236
Z Test Statistic 6.529862051
Upper-Tail Test
Upper Critical Value 1.644853627
p-Value 3.29151E-11
Reject the null hypothesis
Following is the 5-step solution:
1] Ho: pEscudero = pVillar; There is no significant difference on the proportion of votes garnered by Escudero
and Villar.
Ha: pEscuero > pVillar; The proportion of votes garnered by Escudero is significantly higher than the
proportion of votes garnered by Villar.
2] 05.0=α ; p-Value = 0
3] Decision Rule: Reject Ho if p-Value(0.0000000000329151) < α(0.05)
4] Decision: Reject Ho because p-Value(0.0000000000329151) < α(0.05)
5] Conclusion: The proportion of votes garnered by Escudero is significantly higher than the proportion of votes
garnered by Villar.
INFERENCE: If this trend will continue, and if election is held today and the voters are only UE students then
Escudero is a sure winner.
SELF EVALUATION FORM
On a scale of 1-10, with 10 being the highest, please rate your participation in the completion of your group
project. Justify your ratings by completing the table below. Everyone should agree with each one’s self-ratings.
If a member is absent today (August 14, 2009), the Leader, with the consent of all the members who are present
should give the ratings.
______Plus One______
GROUP NAME
Surname, Name Role Rating Justification Signature
1] Quijano, Mark Anthony Leader 10
I wasn’t really the original leader
of the group, but when our original
leader dropped out of class, and as
Co-Leader I had to take over as the
leader of the group, and I did my
part as the new leader of the group
by closely monitoring the progress
of our research work.
2] Santos, Robert Co-Leader 10
Well, I did my part as I could, but I
all thanks to the leader who keeps
the group intact.
3] Catabran, Michael Analyzer 10
I took part on the research
specifically the tallying of votes,
hypothesis testing, conclusions
from findings and 5-step solution
on the last part. Also rechecked the
whole project itself.
INDIVIDUAL REFLECTION
MY ELEMSTA EXPERIENCE
Leader: Mark Anthony Quijano_
I learned a lot in my ELEMSTA class, and I know these things will help me out in the next subjects that I will
be taking up in the next semesters, surveying for example will be helpful when I do feasibility studies, and in
my course Export Management that will have a big factor when I start doing my thesis. Also things were made
easier for us by our professor so the research work wasn’t really that hard. But overall my ELEMSTA class was
a learning experience.
Co-Leader:_Robert Santos_
ELEMSTA for me is a good learning experience. It gave me an idea on how to gather data, it could even help
me in the future when I finish my college years, the subject to me is challenging yet fun, it feeds me idea on
how I could survey on things, well I could even use it on my years here at CSB. The most thing that’s why I
really love ELEMSTA is we can choose where we want to survey so we could go to the place and really survey
people and meet new ones. I really felt the importance of this subject, it really opened my eyes on things how
people really gather data here and else where, with the help of our professor I really learned a lot.
Analyzer:_Michael Catabran_
My experience in ELEMSTA is fast and easy one. There was some difficulty on some lessons but most of the
time, it was mostly easy to understand. I didn’t expect ELEMSTA to be this easy as I’m not that good in math
but thanks to an excellent method of teaching it wasn’t a problem.

Contenu connexe

Tendances

Oral defense presentation_Ennis Brinson
Oral defense presentation_Ennis BrinsonOral defense presentation_Ennis Brinson
Oral defense presentation_Ennis BrinsonEnnis Brinson
 
Questionnaire Design
Questionnaire DesignQuestionnaire Design
Questionnaire Designjravish
 
Dissertation defense ppt
Dissertation defense ppt Dissertation defense ppt
Dissertation defense ppt Dr. James Lake
 
Oral proposaldefense
Oral proposaldefenseOral proposaldefense
Oral proposaldefensemfinkenberg
 
Les7e ppt ada_0101
Les7e ppt ada_0101Les7e ppt ada_0101
Les7e ppt ada_0101Subas Nandy
 
Research proposal upload
Research proposal uploadResearch proposal upload
Research proposal uploadNabin Bhattarai
 
Impact of e commerce on purchase behavior of student in higher education a st...
Impact of e commerce on purchase behavior of student in higher education a st...Impact of e commerce on purchase behavior of student in higher education a st...
Impact of e commerce on purchase behavior of student in higher education a st...Jai Prakash
 
Statistics collection of data
Statistics collection of dataStatistics collection of data
Statistics collection of dataShourav Mahmud
 
Dissertation proposal defense slideshow; phenomenology, qualitative
Dissertation proposal defense slideshow; phenomenology, qualitativeDissertation proposal defense slideshow; phenomenology, qualitative
Dissertation proposal defense slideshow; phenomenology, qualitativeCorey Caugherty
 
Questionnaire for research proposal
Questionnaire for research proposalQuestionnaire for research proposal
Questionnaire for research proposalkemakamal
 
THE EFFECTS OF SOCIAL NETWORKING SITES ON THE ACADEMIC PERFORMANCE OF STUDENT...
THE EFFECTS OF SOCIAL NETWORKING SITES ON THE ACADEMIC PERFORMANCE OF STUDENT...THE EFFECTS OF SOCIAL NETWORKING SITES ON THE ACADEMIC PERFORMANCE OF STUDENT...
THE EFFECTS OF SOCIAL NETWORKING SITES ON THE ACADEMIC PERFORMANCE OF STUDENT...Kasthuripriya Nanda Kumar
 
Lecture 7 Hypothesis Testing Two Sample
Lecture 7 Hypothesis Testing Two SampleLecture 7 Hypothesis Testing Two Sample
Lecture 7 Hypothesis Testing Two SampleAhmadullah
 
Null hypothesis for a Chi-Square Test of Independence
Null hypothesis for a Chi-Square Test of IndependenceNull hypothesis for a Chi-Square Test of Independence
Null hypothesis for a Chi-Square Test of IndependenceKen Plummer
 
Leroy walker s.s (sba)
Leroy walker s.s (sba)Leroy walker s.s (sba)
Leroy walker s.s (sba)leroy walker
 
Business Statistics Chapter 1
Business Statistics Chapter 1Business Statistics Chapter 1
Business Statistics Chapter 1Lux PP
 
Questionnaire on unemployement
Questionnaire on unemployementQuestionnaire on unemployement
Questionnaire on unemployementRaja Mani
 
Math statistic report pdf
Math statistic report  pdfMath statistic report  pdf
Math statistic report pdfYvonne Chin
 
Research proposal defense-powerpoint-
Research proposal defense-powerpoint-Research proposal defense-powerpoint-
Research proposal defense-powerpoint-sanimuhammad001
 

Tendances (20)

Oral defense presentation_Ennis Brinson
Oral defense presentation_Ennis BrinsonOral defense presentation_Ennis Brinson
Oral defense presentation_Ennis Brinson
 
Chi- Square test.pptx
Chi- Square test.pptxChi- Square test.pptx
Chi- Square test.pptx
 
Questionnaire Design
Questionnaire DesignQuestionnaire Design
Questionnaire Design
 
Dissertation defense ppt
Dissertation defense ppt Dissertation defense ppt
Dissertation defense ppt
 
Oral proposaldefense
Oral proposaldefenseOral proposaldefense
Oral proposaldefense
 
Les7e ppt ada_0101
Les7e ppt ada_0101Les7e ppt ada_0101
Les7e ppt ada_0101
 
Research proposal upload
Research proposal uploadResearch proposal upload
Research proposal upload
 
Impact of e commerce on purchase behavior of student in higher education a st...
Impact of e commerce on purchase behavior of student in higher education a st...Impact of e commerce on purchase behavior of student in higher education a st...
Impact of e commerce on purchase behavior of student in higher education a st...
 
Statistics collection of data
Statistics collection of dataStatistics collection of data
Statistics collection of data
 
Dissertation proposal defense slideshow; phenomenology, qualitative
Dissertation proposal defense slideshow; phenomenology, qualitativeDissertation proposal defense slideshow; phenomenology, qualitative
Dissertation proposal defense slideshow; phenomenology, qualitative
 
Questionnaire for research proposal
Questionnaire for research proposalQuestionnaire for research proposal
Questionnaire for research proposal
 
THE EFFECTS OF SOCIAL NETWORKING SITES ON THE ACADEMIC PERFORMANCE OF STUDENT...
THE EFFECTS OF SOCIAL NETWORKING SITES ON THE ACADEMIC PERFORMANCE OF STUDENT...THE EFFECTS OF SOCIAL NETWORKING SITES ON THE ACADEMIC PERFORMANCE OF STUDENT...
THE EFFECTS OF SOCIAL NETWORKING SITES ON THE ACADEMIC PERFORMANCE OF STUDENT...
 
CSEC English SBA.pdf
CSEC English SBA.pdfCSEC English SBA.pdf
CSEC English SBA.pdf
 
Lecture 7 Hypothesis Testing Two Sample
Lecture 7 Hypothesis Testing Two SampleLecture 7 Hypothesis Testing Two Sample
Lecture 7 Hypothesis Testing Two Sample
 
Null hypothesis for a Chi-Square Test of Independence
Null hypothesis for a Chi-Square Test of IndependenceNull hypothesis for a Chi-Square Test of Independence
Null hypothesis for a Chi-Square Test of Independence
 
Leroy walker s.s (sba)
Leroy walker s.s (sba)Leroy walker s.s (sba)
Leroy walker s.s (sba)
 
Business Statistics Chapter 1
Business Statistics Chapter 1Business Statistics Chapter 1
Business Statistics Chapter 1
 
Questionnaire on unemployement
Questionnaire on unemployementQuestionnaire on unemployement
Questionnaire on unemployement
 
Math statistic report pdf
Math statistic report  pdfMath statistic report  pdf
Math statistic report pdf
 
Research proposal defense-powerpoint-
Research proposal defense-powerpoint-Research proposal defense-powerpoint-
Research proposal defense-powerpoint-
 

Similaire à Statistics student sample project (1)

report writing
report writingreport writing
report writingIllia Sham
 
Impact of age, gender and discipline on undergraduates’ perception of causes ...
Impact of age, gender and discipline on undergraduates’ perception of causes ...Impact of age, gender and discipline on undergraduates’ perception of causes ...
Impact of age, gender and discipline on undergraduates’ perception of causes ...Alexander Decker
 
IMPACT OF UNEMPLOYMENT ON GRADUATES` ATTITUDE TOWARDS 1
IMPACT OF UNEMPLOYMENT ON GRADUATES` ATTITUDE TOWARDS 1IMPACT OF UNEMPLOYMENT ON GRADUATES` ATTITUDE TOWARDS 1
IMPACT OF UNEMPLOYMENT ON GRADUATES` ATTITUDE TOWARDS 1Ahmed Sharif Adan
 
MGT assignment 1.docx
MGT assignment 1.docxMGT assignment 1.docx
MGT assignment 1.docxAliMahesa
 
factors determining expectations from the new government after 2014 lok sabha...
factors determining expectations from the new government after 2014 lok sabha...factors determining expectations from the new government after 2014 lok sabha...
factors determining expectations from the new government after 2014 lok sabha...Sharoni Goswami
 
Anesthesia CBTP Phase 1.pptx phase 1 jimma
Anesthesia CBTP Phase 1.pptx  phase 1 jimmaAnesthesia CBTP Phase 1.pptx  phase 1 jimma
Anesthesia CBTP Phase 1.pptx phase 1 jimmanimonayoseph27
 
Masculinity and femenity
Masculinity and femenityMasculinity and femenity
Masculinity and femenityKatalia1
 
Error detection in census data age reporting
Error detection in census data age reportingError detection in census data age reporting
Error detection in census data age reportingcimran15
 
Gender Sensitivity- Meysoon Amin
Gender Sensitivity- Meysoon AminGender Sensitivity- Meysoon Amin
Gender Sensitivity- Meysoon AminMeysoonAmin
 
Psychology project
Psychology projectPsychology project
Psychology projectChong Teo
 
Psychology project
Psychology projectPsychology project
Psychology projectszelun
 
ECO491 Group Project
ECO491 Group ProjectECO491 Group Project
ECO491 Group Projecttrijay1802
 
THESIS PRESENTATION about Factors Affect
THESIS PRESENTATION about Factors AffectTHESIS PRESENTATION about Factors Affect
THESIS PRESENTATION about Factors AffectMonelynBalderama
 
SYNOPSIS PRESENTATION (1).pptx reset topic
SYNOPSIS PRESENTATION (1).pptx reset topicSYNOPSIS PRESENTATION (1).pptx reset topic
SYNOPSIS PRESENTATION (1).pptx reset topicShikharSingh98
 
Latest psycho final r (2)
Latest psycho final r (2)Latest psycho final r (2)
Latest psycho final r (2)JamesMoy7
 
Latest psycho final r (2)
Latest psycho final r (2)Latest psycho final r (2)
Latest psycho final r (2)ZIyeeTan
 
Strategies for enhancing healthy sexual behaviour among secondary school adol...
Strategies for enhancing healthy sexual behaviour among secondary school adol...Strategies for enhancing healthy sexual behaviour among secondary school adol...
Strategies for enhancing healthy sexual behaviour among secondary school adol...Alexander Decker
 

Similaire à Statistics student sample project (1) (20)

report writing
report writingreport writing
report writing
 
Impact of age, gender and discipline on undergraduates’ perception of causes ...
Impact of age, gender and discipline on undergraduates’ perception of causes ...Impact of age, gender and discipline on undergraduates’ perception of causes ...
Impact of age, gender and discipline on undergraduates’ perception of causes ...
 
35 36
35 3635 36
35 36
 
IMPACT OF UNEMPLOYMENT ON GRADUATES` ATTITUDE TOWARDS 1
IMPACT OF UNEMPLOYMENT ON GRADUATES` ATTITUDE TOWARDS 1IMPACT OF UNEMPLOYMENT ON GRADUATES` ATTITUDE TOWARDS 1
IMPACT OF UNEMPLOYMENT ON GRADUATES` ATTITUDE TOWARDS 1
 
Psychology project
Psychology projectPsychology project
Psychology project
 
MGT assignment 1.docx
MGT assignment 1.docxMGT assignment 1.docx
MGT assignment 1.docx
 
factors determining expectations from the new government after 2014 lok sabha...
factors determining expectations from the new government after 2014 lok sabha...factors determining expectations from the new government after 2014 lok sabha...
factors determining expectations from the new government after 2014 lok sabha...
 
Anesthesia CBTP Phase 1.pptx phase 1 jimma
Anesthesia CBTP Phase 1.pptx  phase 1 jimmaAnesthesia CBTP Phase 1.pptx  phase 1 jimma
Anesthesia CBTP Phase 1.pptx phase 1 jimma
 
Masculinity and femenity
Masculinity and femenityMasculinity and femenity
Masculinity and femenity
 
Error detection in census data age reporting
Error detection in census data age reportingError detection in census data age reporting
Error detection in census data age reporting
 
Gender Sensitivity- Meysoon Amin
Gender Sensitivity- Meysoon AminGender Sensitivity- Meysoon Amin
Gender Sensitivity- Meysoon Amin
 
Psychology project
Psychology projectPsychology project
Psychology project
 
Psychology project
Psychology projectPsychology project
Psychology project
 
ECO491 Group Project
ECO491 Group ProjectECO491 Group Project
ECO491 Group Project
 
THESIS PRESENTATION about Factors Affect
THESIS PRESENTATION about Factors AffectTHESIS PRESENTATION about Factors Affect
THESIS PRESENTATION about Factors Affect
 
SYNOPSIS PRESENTATION (1).pptx reset topic
SYNOPSIS PRESENTATION (1).pptx reset topicSYNOPSIS PRESENTATION (1).pptx reset topic
SYNOPSIS PRESENTATION (1).pptx reset topic
 
Latest psycho final r (2)
Latest psycho final r (2)Latest psycho final r (2)
Latest psycho final r (2)
 
Report 3
Report 3Report 3
Report 3
 
Latest psycho final r (2)
Latest psycho final r (2)Latest psycho final r (2)
Latest psycho final r (2)
 
Strategies for enhancing healthy sexual behaviour among secondary school adol...
Strategies for enhancing healthy sexual behaviour among secondary school adol...Strategies for enhancing healthy sexual behaviour among secondary school adol...
Strategies for enhancing healthy sexual behaviour among secondary school adol...
 

Dernier

SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAndikSusilo4
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 

Dernier (20)

SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & Application
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 

Statistics student sample project (1)

  • 1. A STATISTICAL RESEARCH PAPER Submitted to Mr. Marcelo C. Mendoza In partial Fulfillment to the requirements In Math 22 Submitted by Jeramiah E. Faciol BSBA-Bangking & Finance 103I / 9:00-10:30am / M/W
  • 2. The Race for 2013 Senatorial Election Rationale: As I approach the May 2010 election. Our group conducted a quick survey to test the Filipinos’ maturity and integrity in choosing their candidates in our democratic institution. Thus, this project will try to determine the bet of some of our fellow countrymen for the presidential race in the May 2010 election. Statement of the Problem: The aim of this first term statistical research project is to find out who is JRU students’ choice for president in 2010. Specifically, it will try to find the following: 1] The profile of the respondents according to a] gender b] age 2] JRU students’ choice for president 3] Male JRU students’ choice for president 4] Female JRU students’ choice for president 5] JRU students’ perception of their candidates’ chance of winning the presidency in the 2010 election 6] Male JRU students’ perception of their candidate’s chance of winning the presidency in the 2010 election 7] Female JRU students’ perception of their candidate’s chance of winning the presidency in the 2010 election 8] JRU students’ degree of optimism that their choice for president can make a difference in the lives of Filipino people 9] Male JRU students’ degree of optimism that their choice for president can make a difference in the lives of Filipino people 10] Female JRU students’ degree of optimism that their choice for president can make a difference in the lives of Filipino people 11] If there is a significant difference on the degree of optimism between male & female JRU students that their choice for president can make a difference on the lives of Filipino people 12] If there is a significant difference on the proportion of votes garnered by ESCUDERO & VILLAR as the JRU students’ choice for president
  • 3. Hypotheses Tested: The following hypotheses were tested at 0.05 level of significance: 1] Hypothesis on mean: Our group wants to know if there is a significant difference on the average degree of optimism between male and female respondents that their choice for president can make a difference on the lives of Filipino people. Ho: µEscudero = µVillar; There is no significant difference on the average degree of optimism between JRU male and female students that their choice for president can make a difference on the lives of Filipino people. Ha: µEscudero ≠ µVillar; There is a significant difference on the average degree of optimism between JRU male and female students that their choice for president can make a difference on the lives of Filipino people. 2] Hypothesis on proportion: Our group wants to know if there is a significant difference on the average degree of optimism between male and female respondents that their choice for president can make a difference on the lives of Filipino people. Ho: PEscudero = PVillar; The proportion of votes garnered by Escudero and Villar are equal. Ha: PEscudero ≠ PVillar; The proportion of votes garnered by Escudero is significantly higher than the proportion of votes garnered by Villar. Population and Sample: The population in this research is JRU students who are enrolled this first semester SY 2008-09. Our group has estimated JRU for having 22,000 students enrolled this first semester of SY 2009-10. Using Slovin’s formula and a 5% margin of error, the required number of samples is 393. (Please see computation below.) But our professor only required us to gather 200 samples, but our group managed to gather up to 250 samples. Our group decided to use random sampling. Thus our samples are 115 randomly selected male and 135 randomly selected female UE students. Computation for n at e = 5% = + = 2 )05(.000,221 000,22 n n = 392.86 or 393 Sampling and Data Gathering Techniques: Our group used simple random sampling in choosing the 250 sample respondents in this research. We also utilized the indirect or questionnaire method. The group distributed 250 questionnaires from June 25 to July 2 to UE students around the campus. Our group had contacts inside the UE campus, thus making things easier to get in touch with UE students. Having only 3 members in the group the group divided the questionnaires into 3, with 2 members having 75 questionnaires each and 1 member having 100 questionnaires. From June 25 to July 2 our group would drop by UE to randomly give out survey questionnaires to UE students, and with the help of our contacts in UE, our group was able to have access inside the UE campus, thus giving the group more respondents for the survey. Research Design: Our research is descriptive comparative since we will be comparing the responses of male and female UE students. Questionnaire: The questionnaire is composed of three items. The 1st item asks the respondents about their choice for president in 2010. The 2nd item asks about their choice’s chances of winning the presidency. The last item is a likert scale composed of five statements which try to assess the respondent’s degree of optimism that their choice for president can make a difference on the lives of Filipino people.
  • 4. Processing of data: Below is a table which summarizes the research procedure. Statements & hypotheses Data gathered Statistical Tools 1] the profile of respondents according to gender and age Number of male & female respondents, Ages of respondents Rank and percentage analysis Analysis of Measures of central tendency and variability, skewness & kurtosis 2] UE students’ choice for president Number of votes for each candidate Rank and Percentage analysis 3] male UE students’ choice for president Number of votes for each candidate from male respondents Rank and Percentage analysis 4] female UE students’ choice for president Number of votes for each candidate from female respondents Rank and Percentage analysis 5] UE students’ perception of their candidates’ chance of winning the presidency in the 2010 election Mean and standard deviation Rank and Percentage analysis 6] Male UE students perception of their candidates’ chance of winning the presidency in the 2010 election Mean and standard deviation Rank and Percentage analysis 7] Female UE students perception of their candidates’ chance of winning the presidency in the 2010 election Mean and standard deviation Rank and Percentage analysis 8] UE students’ degree of optimism that their choice for president can make a difference in the lives of Filipino people Mean and standard deviation Mean & standard deviation analysis 9] Male UE students’ degree of optimism that their choice for president can make a difference in the lives of Filipino people Mean and standard deviation Mean & standard deviation analysis 10] Female UE students’ degree of optimism that their choice for president can make a difference in the lives of Filipino people Mean and standard deviation Mean & standard deviation analysis 11] if there is a significant difference on the degree of optimism between male & female UE students that their choice for president can make a difference on the lives of Filipino people Mean and standard deviation of the responses of male and female respondents t-test for testing the significance of difference between means 12] if there is a significant difference on the proportion of votes garnered by ESCUDERO & VILLAR as UE students’ choice for president. Number of votes garnered by Escudero & Villar. Z-test for testing the significance of difference between proportions
  • 5. Presentation, Analysis, Findings and Conclusions: The following presentations are the results of our careful analysis on the responses of the 250 UE students who participated in our research. Statement 1: Profile of respondents: Findings: 54% of respondents are female while 46% are male. Conclusion: Majority of the respondents are female. Table 1: Profile of Male respondents according to Age Findings: 26.0870% of Male respondents are 20 years of age. Conclusions: The modal age of the male respondents is 20. Age Frequenc y Percentage Frequency 16 1 0.8696 17 7 6.0870 18 15 13.0435 19 16 13.9130 20 30 26.0870 21 13 11.3044 22 7 6.0870 23 12 10.4348 24 6 5.2174 25 2 1.7391 26 1 0.8696 28 1 0.8696 31 2 1.7391 33 1 0.8696 35 1 0.8696 Total N = 115 Figure1: Profile of respondents according to gender
  • 6. Table 2: Profile of Female respondents according to Age Age Frequency Percentage Frequency 16 5 3.7037 17 7 5.1852 18 13 9.6296 19 21 15.5556 20 45 33.3333 21 20 14.8148 22 4 2.9630 23 10 7.4074 24 3 2.2222 25 3 2.2222 27 2 1.4815 28 2 1.4815 Total N=135 Findings: 33.3333% of Female respondents are 20 years of Age. Conclusion: The modal age of the male respondents is 20. Table 3: Profile of Total respondents according to Age Age Frequency Percentage Frequency 16 6 2.4 17 14 5.6 18 28 11.2 19 37 14.8 20 75 30 21 33 13.2 22 11 4.4 23 22 8.8 24 9 3.6 25 5 2 26 1 0.4 27 2 0.8 28 3 1.2 31 2 0.8 33 1 0.4 35 1 0.4 Total N=250 Findings: 30% of the total respondents are 20 years of Age. Conclusion: The modal age of the total respondents are 20 years of Age.
  • 7. Below is the printout of the descriptive statistics of the ages of male and female respondents. Male Female Mean 20.7826087 Mean 20.2 Standard Error 0.29170652 Standard Error 0.19467766 2 Median 20 Median 20 Mode 20 Mode 20 Standard Deviation 3.12820392 6 Standard Deviation 2.26195002 4 Sample Variance 9.78565980 2 Sample Variance 5.11641791 Kurtosis 5.89889390 3 Kurtosis 2.05959491 6 Skewness 2.01973576 6 Skewness 1.01619418 7 Range 19 Range 12 Minimum 16 Minimum 16 Maximum 35 Maximum 28 Sum 2390 Sum 2727 Count 115 Count 135
  • 8. Findings: A: Measures of Central Tendency 1] The mean age of male is 21 while that of the female is 20. 2] The median age of male is 20 while that of the female is also 20. 3] The modal age of male is 20 while that of the female is also 20. Conclusions: The mean age of male is higher by 1 which is 21. This makes the male group older than the female. The median and modal age of both male and female are just the same. Findings: B: Measures of Variability 1] The range of the male age is 19 while that of the female is 12. 2] The standard deviation of the male age is 3.13 while that of the female is 2.26. 3] The variance of the male age is 9.79 while that of the female is 5.12. Conclusions: The standard deviation and variance of the age of male is higher than that of the female age. This means that the age of male are more dispersed than the age of female. Findings: C: Skewness & Kurtosis 1] The coefficient of skewness of male age is 2.019735766 while that of the female is 1.016194187 2] The coefficient of kurtosis of the male age is 5.898893903 while that of the female is 2.059594916. 3] Below are the sketches of the graphs of the ages of male and female respondents: Male: Female: Conclusions: The Coefficient of skewness of both male and female are skewed to the right. The Coefficient of Kurtosis on both male and female are taller than normal. Findings: D: Other Statistics 1] The minimum age of male is 16 while that of the female is also 16. 2] The maximum age of male is 35 while that of the female Conclusions: Both male and female have the minimum ago of 16 bat the maximum age, male is higher which is 35 and only 28 for the female.
  • 9. is 28. Table4: Profile of respondents according to gender Statement 2: UE students’ [male & female] choice for president 36% 11%10% 10% 10% 6% 5% 5% 5% 2%0% Escudero Villar Binay De Castro Roxas Legarda Fernando Estrada Gordon Lacson Panlilio Figure2: UE students’ choice for President. The tables which follow below show the votes of each candidate arranged according to ranks. Table 4: Ranks of candidates (male & female votes) Candidate No. of Votes Percentage Frequency Rank Escudero, Chiz 90 36 1 Villar, Manny 28 11.2 2 Binay, Jejomar 25 10 4 De Castro, Noli 25 10 4 Roxas, Mar 25 10 4 Legarda, Loren 14 5.6 6 Fernando, Bayani 13 5.2 7 Estrada, Erap 12 4.8 8.5 Gordon, Dick 12 4.8 8.5 Lacson, Ping 5 2 10 Panlilio, Ed 1 0.4 11 Total: 250 Findings: This shows that Escudero is UE students’ choice for president in the May 2010 election. Conclusion: If this trend will continue, then Escudero will win the 2010 election among UE students.
  • 10. Statement 3: Male UE students’ choice for president 32% 13% 10% 10% 9% 8% 7% 5% 3% 2%1% Escudero Villar De Castro Roxas Estrada Fernando Binay Legarda Gordon Lacson Panlilio Figure 3: Male UE students’ choice for President. Table 4: Ranks of candidates (male votes) Candidate No. of Votes Percentage Frequency Rank Escudero, Chiz 37 32.17391 1 Villar, Manny 15 13.04348 2 De Castro, Noli 12 10.43478 3 Roxas, Mar 11 9.565217 4 Estrada, Erap 10 8.695652 5 Fernando, Bayani 9 7.826087 6 Binay, Jejomar 8 6.956522 7 Legarda, Loren 6 5.217391 8 Gordon, Dick 4 3.478261 9 Lacson, Ping 2 1.73913 10 Panlilio, Ed 1 0.869565 11 Total: 115 Findings: Escudero garnered the most number of votes from the UE male students’. Conclusion: This shows that Escudero is male UE students’ choice for the May 2010 election.
  • 11. Statement4: Female UE students’ choice for president. 39% 13%10% 10% 10% 6% 6% 3% 2% 1%0% Escudero Binay Roxas De Castro Villar Gordon Legarda Fernando Lacson Estrada Panlilio Figure 4: Female UE students’ choice for President. Table 5: Ranks of candidates (female votes) Candidate No. of Votes Percentage Frequency Rank Escudero, Chiz 53 39.25926 1 Binay, Jejomar 17 12.59259 2 Roxas, Mar 14 10.37037 3 De Castro, Noli 13 9.62963 4.5 Villar, Manny 13 9.62963 4.5 Gordon, Dick 8 5.925926 6.5 Legarda, Loren 8 5.925926 6.5 Fernando, Bayani 4 2.962963 8 Lacson, Ping 3 2.222222 9 Estrada, Erap 2 1.481481 10 Panlilio, Ed 0 0 11 Total: 135 Findings: Escudero garnered the most number of votes from the UE female students’. Conclusion: This shows that Escudero is female UE students’ choice for the May 2010 election.
  • 12. Statement 5: UE students’ perception of their candidates’ chance of winning the presidency in the 2010 election. Below is the mean interpretation used: 1.0 - 1.7 No Chance of Winning 1.8 - 2.5 Slim Chance of Winning 2.6 - 3.3 50/50 Chance of Winning 3.4 - 4.1 Good Chance of Winning 4.2 - 5.0 Sure Winner Table6: Percentage chance of winning the election [Male & Female] Candidate Sure Winner (4) Good Chance (3) 50/50 Chance (2) Slim Chance (1) No Chance (0) Mean Mean Interpretation Escudero, Chiz 4 68 15 3 0 2.81 50/50 Chance of Winning Villar, Manny 2 21 3 1 1 2.79 50/50 Chance of Winning Binay, Jejomar 1 12 11 1 0 2.52 Slim Chance of Winning De Castro, Noli 7 12 6 0 0 3.04 50/50 Chance of Winning Roxas, Mar 2 18 4 1 0 2.84 50/50 Chance of Winning Legarda, Loren 1 10 3 0 0 2.86 50/50 Chance of Winning Fernando, Bayani 0 1 8 4 0 1.77 Slim Chance of Winning Estrada, Erap 3 9 0 0 0 3.25 50/50 Chance of Winning Gordon, Dick 1 7 3 1 0 2.67 50/50 Chance of Winning Lacson, Ping 0 2 2 1 0 2.2 Slim Chance of Winning Panlilio, Ed 0 0 1 0 0 2 Slim Chance of Winning Findings: Escudero,Villar, De Castro, Roxas, Legarda, Estrada and Gordon all got a mean score between 2.6 - 3.3 and is equivalent to the mean interpretation 50/50 chance of winning. While Binay, Fernando, Lacson and Panlilio all got a mean score between 1.8 - 2.5 and is equivalent to the mean interpretation slim chance of winning. Conclusion: UE students perceived that Escudero,Villar, De Castro, Roxas, Legarda, Estrada and Gordon has a 50/50 chance of winning the 2010 election. While Binay, Fernando, Lacson and Panlilio has a slim chance of winning the 2010 election.
  • 13. Statement 6: Male UE students’ perception of their candidates’ chance of winning the presidency in the 2010 election Table 7: Male UE students’ perception of their candidates’ chance of winning the presidency in the 2010 election. Candidate Sure Winner (4) Good Chance (3) 50/50 Chance (2) Slim Chance (1) No Chance (0) Mean Mean Interpretation Escudero, Chiz 0 27 8 2 0 2.68 50/50 Chance of Winning Villar, Manny 0 11 3 0 1 2.6 50/50 Chance of Winning De Castro, Noli 2 6 4 0 0 2.83 50/50 Chance of Winning Roxas, Mar 0 9 2 0 0 2.82 50/50 Chance of Winning Estrada, Erap 3 7 0 0 0 3.3 50/50 Chance of Winning Fernando, Bayani 0 1 4 4 0 1.67 No Chance of Winning Binay, Jejomar 0 4 3 1 0 2.38 Slim Chance of Winning Legarda, Loren 0 5 1 0 0 2.83 50/50 Chance of Winning Gordon, Dick 0 1 2 1 0 2 Slim Chance of Winning Lacson, Ping 0 1 1 0 0 2.5 Slim Chance of Winning Panlilio, Ed 0 0 1 0 0 2 Slim Chance of Winning Findings: Escudero, Villar, De Castro, Roxas, Estrada and Legarda all got a mean score between 2.6 - 3.3 and is equivalent to the mean interpretation 50/50 chance of winning. Binay, Gordon, Lacson and Panlilio all got a mean score between 1.8 - 2.5 and is equivalent to the mean interpretation slim chance of winning. Fernando got a mean score of 1.67 and is equivalent to the mean interpretation no chance of winning Conclusion: Male UE students’ perceived that Escudero, Villar, De Castro, Roxas, Estrada and Legarda has a 50/50 chance of winning the election. And Binay, Gordon, Lacson and Panlilio has a slim chance of winning the election. While Fernando has no chance of winning the election.
  • 14. Statement 7: Female UE students’ perception of their candidates’ chance of winning the presidency in the 2010 election Table 8: Female UE students’ perception of their candidates’ chance of winning the presidency in the 2010 election. Candidate Sure Winner (4) Good Chance (3) 50/50 Chance (2) Slim Chance (1) No Chance (0) Mean Mean Interpretation Escudero, Chiz 4 41 7 1 0 2.91 50/50 Chance of Winning Binay, Jejomar 1 8 8 0 0 2.59 50/50 Chance of Winning Roxas, Mar 2 9 2 1 0 2.86 50/50 Chance of Winning De Castro, Noli 5 6 2 0 0 3.23 50/50 Chance of Winning Villar, Manny 2 10 0 1 0 3 50/50 Chance of Winning Gordon, Dick 1 6 1 0 0 3 50/50 Chance of Winning Legarda, Loren 1 5 2 0 0 2.88 50/50 Chance of Winning Fernando, Bayani 0 0 4 0 0 2 Slim Chance of Winning Lacson, Ping 0 1 1 1 0 2 Slim Chance of Winning Estrada, Erap 0 2 0 0 0 3 50/50 Chance of Winning Findings: Escudero, Binay, Roxas, De Castro, Villar, Gordon, Legarda and Estrada all got a mean score between 2.6 - 3.3 and is equivalent to the mean interpretation 50/50 chance of winning. While Fernando and Lacson got mean scores ranging from 1.8 - 2.5 and is equivalent to the mean interpretation slim chance of winning. Conclusion: Female UE students’ perceived that Escudero, Binay Roxas, De Castro, Villar, Gordon, Legarda and Estrada will have a 50/50 chance of winning the 2010 election. While Fernando and Lacson will have a slim chance of winning the election.
  • 15. Statement 8: UE students’ degree of optimism that their choice for president can make a difference in the lives of Filipino people. Below is the mean interpretation used: 2.0 - 1.7 Very pessimistic that s/he can make a difference 1.8 - 2.5 Pessimistic that s/he can make a difference 2.6 - 3.3 Not sure if s/he can make a difference 3.4 - 4.1 Optimistic s/he can make a difference 4.2 - 5.0 Very optimistic s/he can make a difference Table 9: Combined responses of UE Male & Female respondents. Statement 5 4 3 2 1 Mean SDev. Mean Interpretation 1] My candidate can eradicate graft & corruption in government. 48 90 80 22 1 0 3.58 1.02 Optimistic 2] My candidate can alleviate poverty. 35 10 4 82 22 7 3.55 0.94 Optimistic 3] My candidate can restore trust in government. 67 97 60 20 6 3.80 1.00 Optimistic 4] My candidate can improve the economy. 61 10 3 57 21 8 3.75 1.02 Optimistic 5] My candidate can solve the insurgency. 37 97 90 18 8 3.55 0.94 Optimistic Total/Grand Mean/Sd 24 8 49 1 36 9 10 3 3 9 3.64 0.99 Optimistic Findings: UE students are optimistic that if Escudero will win, corruption will be solved, poverty can be eradicated, trust in government can be restored, the economy will improve, and insurgency can be solved. Overall, they are optimistic that their candidate will make a difference in the lives of the Filipino people. Conclusions: UE students are optimistic that if Escudero wins he can make a difference in the lives of the Filipino people.
  • 16. Statement 9: UE Male students’ degree of optimism that their choice for president can make a difference in the lives of Filipino people. Table 10: Responses of UE Male respondents. Statement 5 4 3 2 1 Mean SDev Mean Interpretation 1] My candidate can eradicate graft & corruption in government. 23 39 33 1 5 5 3.52 1.09 Optimistic 2] My candidate can alleviate poverty. 18 41 41 1 1 4 3.50 0.99 Optimistic 3] My candidate can restore trust in government. 32 46 22 1 1 4 3.79 1.06 Optimistic 4] My candidate can improve the economy. 25 47 26 1 1 6 3.64 1.09 Optimistic 5] My candidate can solve the insurgency. 17 37 46 8 7 3.43 1.03 Optimistic Total/Grand Mean/Sd 11 5 21 0 16 8 5 6 2 6 3.58 1.05 Optimistic Findings: Male UE respondents are optimistic that if Escudero will win, corruption will be solved, poverty can be eradicated, trust in government can be restored, the economy will improve, and insurgency can be solved. Overall, they are optimistic that Escudero will make a difference in the lives of the Filipino people. Conclusions: Male UE students are optimistic that Escudero can make a difference in the lives of the Filipino people. Statement 10: UE Female students’ degree of optimism that their choice for president can make a difference in the lives of Filipino people Table 11: Responses of UE Female respondents. Statement 5 4 3 2 1 Mean SDev Mean Interpretation 1] My candidate can eradicate graft & corruption in government. 25 51 47 7 5 3.62 0.97 Optimistic 2] My candidate can alleviate poverty. 17 63 41 1 1 3 3.59 0.89 Optimistic 3] My candidate can restore trust in government. 35 51 38 9 2 3.8 0.95 Optimistic 4] My candidate can improve the economy. 36 56 31 1 0 2 3.84 0.95 Optimistic 5] My candidate can solve the insurgency. 20 60 44 1 0 1 3.65 0.85 Optimistic Total/Grand Mean/Sd 13 3 28 1 20 1 4 7 1 3 3.70 0.93 Optimistic Findings: Female UE respondents are optimistic that if Escudero will win, corruption will be solved, poverty can be eradicated, trust in government can be restored, the economy will improve, and insurgency can be solved. Overall, they are optimistic that Escudero will make a difference in the lives of the Filipino people. Conclusion: Female UE students are optimistic that Escudero can make a difference in the lives of the Filipino people.
  • 17. Statement 11: if there is a significant difference on the degree of optimism between male & female UE students that their choice for president can make a difference on the lives of Filipino people. Below is the PHStat printout for testing the significance of difference between mean responses of male and female respondents. Data Hypothesized Difference 0 Level of Significance 0.05 Population 1 Sample Sample Size 115 Sample Mean 3.58 Sample Standard Deviation 1.05 Population 2 Sample Sample Size 135 Sample Mean 3.7 Sample Standard Deviation 0.93 Intermediate Calculations Population 1 Sample Degrees of Freedom 114 Population 2 Sample Degrees of Freedom 134 Total Degrees of Freedom 248 Pooled Variance 0.974119 Difference in Sample Means -0.12 t-Test Statistic -0.95812 Two-Tailed Test Lower Critical Value -1.96958 Upper Critical Value 1.969576 p-Value 0.338934 Do not reject the null hypothesis Following is the 5-step solution: 1] Ho: µMale = µFemale; There is no significant difference on the degree of optimism between male and female UE students that their choice for president can make a difference on the lives of Filipino people. Ha: µMale ≠ µFemale; There is a significant difference on the degree of optimism between male and female UE students that their choice for president can make a difference on the lives of Filipino people. 2] 05.0=α ; p-Value = 0.338934 3] Decision Rule: Reject Ho if p-Value(0.338934) < α(0.05) 4] Decision: Do no reject Ho because p-Value(0.338934) > α(0.05) 5] Conclusion: There is no significant difference on the degree of optimism between male and female UE students that their choice for president can make a difference on the lives of Filipino people.
  • 18. Statement 12: if there is a significant difference on the proportion of votes garnered by Escudero & Villar as UE students’ choice for president. Below is the PHStat printout for testing the significance of difference between the number of votes garnered by Escudero and Villar as the respondents 1st choice for president. Data Hypothesized Difference 0 Level of Significance 0.05 Group 1 Number of Successes 90 Sample Size 250 Group 2 Number of Successes 28 Sample Size 250 Intermediate Calculations Group 1 Proportion 0.36 Group 2 Proportion 0.112 Difference in Two Proportions 0.248 Average Proportion 0.236 Z Test Statistic 6.529862051 Upper-Tail Test Upper Critical Value 1.644853627 p-Value 3.29151E-11 Reject the null hypothesis Following is the 5-step solution: 1] Ho: pEscudero = pVillar; There is no significant difference on the proportion of votes garnered by Escudero and Villar. Ha: pEscuero > pVillar; The proportion of votes garnered by Escudero is significantly higher than the proportion of votes garnered by Villar. 2] 05.0=α ; p-Value = 0 3] Decision Rule: Reject Ho if p-Value(0.0000000000329151) < α(0.05) 4] Decision: Reject Ho because p-Value(0.0000000000329151) < α(0.05) 5] Conclusion: The proportion of votes garnered by Escudero is significantly higher than the proportion of votes garnered by Villar. INFERENCE: If this trend will continue, and if election is held today and the voters are only UE students then Escudero is a sure winner.
  • 19. SELF EVALUATION FORM On a scale of 1-10, with 10 being the highest, please rate your participation in the completion of your group project. Justify your ratings by completing the table below. Everyone should agree with each one’s self-ratings. If a member is absent today (August 14, 2009), the Leader, with the consent of all the members who are present should give the ratings. ______Plus One______ GROUP NAME Surname, Name Role Rating Justification Signature 1] Quijano, Mark Anthony Leader 10 I wasn’t really the original leader of the group, but when our original leader dropped out of class, and as Co-Leader I had to take over as the leader of the group, and I did my part as the new leader of the group by closely monitoring the progress of our research work. 2] Santos, Robert Co-Leader 10 Well, I did my part as I could, but I all thanks to the leader who keeps the group intact. 3] Catabran, Michael Analyzer 10 I took part on the research specifically the tallying of votes, hypothesis testing, conclusions from findings and 5-step solution on the last part. Also rechecked the whole project itself. INDIVIDUAL REFLECTION MY ELEMSTA EXPERIENCE Leader: Mark Anthony Quijano_ I learned a lot in my ELEMSTA class, and I know these things will help me out in the next subjects that I will be taking up in the next semesters, surveying for example will be helpful when I do feasibility studies, and in my course Export Management that will have a big factor when I start doing my thesis. Also things were made easier for us by our professor so the research work wasn’t really that hard. But overall my ELEMSTA class was a learning experience. Co-Leader:_Robert Santos_ ELEMSTA for me is a good learning experience. It gave me an idea on how to gather data, it could even help me in the future when I finish my college years, the subject to me is challenging yet fun, it feeds me idea on how I could survey on things, well I could even use it on my years here at CSB. The most thing that’s why I really love ELEMSTA is we can choose where we want to survey so we could go to the place and really survey people and meet new ones. I really felt the importance of this subject, it really opened my eyes on things how people really gather data here and else where, with the help of our professor I really learned a lot. Analyzer:_Michael Catabran_ My experience in ELEMSTA is fast and easy one. There was some difficulty on some lessons but most of the time, it was mostly easy to understand. I didn’t expect ELEMSTA to be this easy as I’m not that good in math but thanks to an excellent method of teaching it wasn’t a problem.