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Eco 302: Spring 20-Assignment 2: Chapters: 8, 9, 10, and 13:
Total 250 points due by Midnight (11:59 pm), Sunday, April
26th, 2020
True / False Questions (2 points each)
Chapter 8
1. The sampling distribution of must be a normal distribution.
2. The sample variance has a divisor of n-1 rather than n is
which makes the sample variance and the sample standard
deviation unbiased estimators of the population values.
3. The standard deviation of the sampling distribution of the
sample mean decreases as the sample size increases.
4. If a population is known to be normally distributed, then it
follows that the sample mean must equal the population mean.
5. If the sampled population is a normal distribution, then the
sampling distribution of must be normal for large samples but
may not be normal for a small sample.
6. The mean of the sampling distribution of (X-bar) is always
equal to the mean of the sampled population.
Chapter 9
7. Assuming the same level of significance , as the sample size
increases, the value of t/2 falls below the value of z/2.
8. When constructing a confidence interval for a sample
proportion, the t distribution is appropriate whenever the
population standard deviation is not known, whether the sample
size is large or small.
9. When the level of confidence and sample proportion p remain
the same, a confidence interval for a population proportion p
based on a sample of n = 100 will be narrower than a confidence
interval for p based on a sample of n = 400.
10. When the level of confidence and the sample size remain the
same, a confidence interval for a population mean µ will be
wider, when the sample standard deviation s is larger than when
s is smaller.
Chapter 10
11. The further the hypothesized mean is from the actual mean
the greater the power of the test.
12. The manager of the quality department for a tire
manufacturing company wants to know the average tensile
strength of rubber used in making a certain brand of radial tire.
She knows the population standard deviation and uses a Z test
to test the null hypothesis that the mean tensile strength is 800
pounds per square inch. The calculated Z test statistic is a
positive value that leads to a p-value of .047 for the test. If the
significance level is .05, the null hypothesis would be rejected.
13. The larger the p-value, the more we doubt the null
hypothesis.
14. You cannot make a Type II error when the null hypothesis
is true.
15. A Type II error is rejecting a true null hypothesis.
16. When conducting a hypothesis test about a single mean,
other relevant factors held constant, increasing the level of
significance from .05 to .10 will reduce the probability of a
Type I error.
17. When conducting a hypothesis test about a single mean,
other relevant factors held constant, increasing the level of
significance from .05 to .10 will reduce the probability of a
Type II error.
18. The null hypothesis always includes an equal (=) sign.
19. When the null hypothesis is true, there is no possibility of
making a Type I error.
Chapter 13
20. The error term is the difference between an individual value
of the dependent variable and the corresponding mean value of
the dependent variable.
21. The residual is the difference between the observed value of
the dependent variable and the predicted value of the dependent
variable.
22. The slope of the simple linear regression equation
represents the average change in the value of the dependent
variable per unit change in the dependent variable (Y).
23. A significant positive correlation between X and Y does not
imply that changes in X cause Y to change.
24. The correlation coefficient is the ratio of explained
variation to total variation.
25. When using simple regression analysis, if there is a strong
correlation between the independent and dependent variable,
then we can conclude that an increase in the value of the
independent variable causes an increase in the value of the
dependent variable.
Multiple Choices (4 Points Each)
Chapter 8
1. If the sampled population has a mean 48 and standard
deviation 18, then the mean and the standard deviation for the
sampling distribution of (X-bar) for n = 9 are:
A. 48 and 18
B. 48 and 9
C. 16 and 6
D. 48 and 6
E. 48 and 2
2. A manufacturing company measures the weight of boxes
before shipping them to the customers. If the box weights have
a population mean and standard deviation of 90 lbs. and 24 lbs.
respectively, then based on a sample size of 36 boxes, the
probability that the average weight of the boxes will be more
than 94 lbs. is:
A. 34.13%
B. 84.13%
C. 15.87%
D. 56.36%
E. 16.87%
3. If a population distribution is known to be normal, then it
follows that:
A. The sample mean must equal the population mean
B. The sample mean must equal the population mean for large
samples
C. The sample standard deviation must equal the population
standard deviation
D. All of the above
E. None of the above
4. In a manufacturing process a machine produces bolts that
have an average length of 3 inches with a variance of .03. If we
randomly select three bolts from this process: What is the
probability the mean length of the bolt is more than 3.16
inches?
A. 5.48%
B. 97.72%
C. 94.52%
D. 44.52%
E. 2.28%
5. Whenever the population has a normal distribution, the
sampling distribution of is normal or near normal distribution:
A. For only large sample sizes
B. For only small sample sizes
C. For any sample size
D. For only samples of size 30 or more
Chapter 9
7. The width of a confidence interval will be:
A. Narrower for 99% confidence than 95% confidence
B. Narrower for a sample size of 100 than for a sample size of
200
C. Wider for 95% confidence than 90% confidence
D. Wider when the sample standard deviation (s) is small than
when s is large
7. As standard deviation increases, samples size
_____________ to achieve a specified level of confidence.
A. Increases
B. Decreases
C. Remains the same
8. When the level of confidence and sample standard deviation
remain the same, a confidence interval for a population mean
based on a sample of n = 100 will be ______________ a
confidence interval for a population mean based on a sample of
n = 150.
A. Wider than
B. Narrower than
C. Equal to
9. When a confidence interval for a population proportion is
constructed for a sample size n =30 and the value of p =.4, the
interval is based on:
A. The Z distribution without continuity correction
B. The Z distribution with continuity correction
C. Skewed distribution
D. None of the above
10. . In a manufacturing process a random sample of 9 bolts
manufactured has a mean length of 3 inches with a variance of
.09. What is the 90% confidence interval for the true mean
length of the bolt?
A. 2.8355 to 3.1645
B. 2.5065 to 3.4935
C. 2.8140 to 3.1860
D. 2.4420 to 3.5580
E. 2.9442 to 3.0558
11. The internal auditing staff of a local manufacturing
company performs a sample audit each quarter to estimate the
proportion of accounts that are delinquent (more than 90 days
overdue). For this quarter, the auditing staff randomly selected
400 customer accounts and found that 80 of these accounts were
delinquent. What is the 99% confidence interval for the
proportion of all delinquent customer accounts at this
manufacturing company?
A. .1608 to .2392
B. .1992 to .2008
C. .1671 to .2329
D. .1485 to .2515
E. .1714 to .2286
12. The internal auditing staff of a local manufacturing
company performs a sample audit each quarter to estimate the
proportion of accounts that are current (between 0 and 60 days
after billing). The historical records show that over the past 8
years 70 percent of the accounts have been current. Determine
the sample size needed in order to be 95% confident that the
sample proportion of the current customer accounts is within
.03 of the true proportion of all current accounts for this
company.
A. 1842
B. 1548
C. 897
D. 632
E. 1267
Chapter 10
13. When testing a null hypothesis about a single population
mean and the population standard deviation is unknown, if the
sample size is less than 30, one compares the computed test
statistic for significance with a value from the ___________
distribution.
A. t
B. Z
C. Binomial
D. Skewed distribution
14. For a given hypothesis test, if we do not reject H0 and H0 is
true.
A. No error has been committed
B. Type I error has been committed
C. Type II error has been committed
D. Type III error has been committed
15. If a null hypothesis is not rejected at a significance level of
.05, it will ______ be rejected at a significance level of .01
A. Always
B. Sometimes
C. Never
16. If a two-sided null hypothesis is not rejected for a single
mean at a given significance level, the corresponding one-sided
null hypothesis (i.e., the same sample size, the same standard
deviation and the same mean) will _________ be rejected at the
same significance level.
A. Always
B. Sometimes
C. Never
17. A professional basketball player is averaging 21 points per
game. He will be retiring at the end of this season. The team has
multiple options to replace him. However, the owner feels that
signing a replacement is only justified, if he can average more
than 22 points per game. Which of the following are the
appropriate hypotheses for this problem?
A. H0: 21 vs. H: > 21
B. H0: 22 vs. H: > 22
C. H0: 21 vs. H: < 21
D. H0: 22 vs. H: < 22
18. When carrying out a large sample test of H0: = 10 vs. Ha:
> 10 by using a critical value, we reject H0 at level of
significance when the calculated test statistic is:
A. Less than z
B. Less than- z
C. Greater than z/2
D. Greater than z
E. Less than the p value
Chapter 13
19. In a simple linear regression analysis, the correlation
coefficient (a) and the slope (b) _____ have the same sign.
A. Always
B. Sometimes
C. Never
20. The least squares regression line minimizes the sum of the
A. Differences between actual and predicted Y values
B. Absolute deviations between actual and predicted Y values
C. Absolute deviations between actual and predicted X values
D. Squared differences between actual and predicted Y values
E. Squared differences between actual and predicted X values
21. The ___________ the R2 and the __________ the s
(standard error), the stronger the relationship between the
dependent variable and the independent variable.
A. Higher, lower
B. Lower, higher
C. Lower, lower
D. Higher, higher
22. In simple regression analysis, the quantity that gives the
amount by which Y (dependent variable) changes for a unit
change in X (independent variable) is called the
A. Coefficient of determination
B. Slope of the regression line
C. Y intercept of the regression line
D. Correlation coefficient
E. Standard error
23. A simple bivariate regression analysis with 21 observations
would yield ________ degrees of freedom error and _________
degrees of freedom total.
A. 1, 20
B. 18, 19
C. 19, 20
D. 1, 19
E. 18, 20
24. The correlation coefficient may assume any value between
A. 0 and 1
B. - and
C. 0 and 8
D. -1 and 1
E. -1 and 0
25. In simple regression analysis, if the correlation coefficient
is a positive value, then
A. The Y intercept must also be a positive value
B. The coefficient of determination can be either positive or
negative, depending on the value of the slope
C. The least squares regression equation could either have a
positive or a negative slope
D. The slope of the regression line must also be positive
E. The standard error of estimate can either have a positive or a
negative value
Essay type Questions (10 points each)Chapter 8
1 Packages of sugar bags for Sweeter Sugar Inc. have an
average weight of 20 ounces and a standard deviation of 0.25
ounces. The weights of the sugar bags are normally distributed.
What is the probability that 25 randomly selected packages will
have an average weight less than 19.97 ounces?
Chapter 9
2. A sample of 25 items yields = 60 grams and s = 5 grams.
Assuming a normal parent distribution, construct a 99 percent
confidence interval for the population mean weight.
3. Of a random sample of 600 trucks at a bridge, 120 had bad
signal lights. Construct a 90 percent confidence interval for the
percentage of trucks that had bad signal lights.
4. A cable TV company wants to estimate the percentage of
cable boxes in use during an evening hour. An approximation
based on previous surveys is 25 percent. The company wants the
new estimate to be at the 90 percent confidence level and within
3 percent of the actual proportion. What sample size is needed?
5. Suppose that 55 percent of the voters in a particular region
support a candidate. Find the probability that a sample of 900
voters would yield a sample proportion in favor of the candidate
within 2 percentage points of the actual proportion.
Chapter 10
6. Test H0: 8 versus HA: > 8, at = 0.05 and 0.01, given n = 25,
= 8.07 and s = 0.16. Assume the sample is selected from a
normally distributed population.
7. Test H0: π = 0.25 versus HA: π 0.25 with p = 0.33 and n =
100 at alpha = 0.05 and 0.10.
8. Test at α =.05 the hypothesis that a majority (more than 50%)
of students favor the plus/minus grading system at a university
if in a random sample of 400 students, 216 favor the system?
9. Test whether the sample evidence indicates that the average
time an employee stays with a company in their current
positions is less than 3 years when a random sample of 64
employees yielded a mean of 2.765 years and s = 0.8. Use =
0.01. Assume normal distribution.
Chapter 13
10. Consumer Reports provided extensive testing and ratings
for more than 100 HDTVs. An overall score, based primarily on
picture quality, was developed for each model. In general, a
higher overall score indicates better performance. The following
(hypothetical) data show the price and overall score for the ten
42-inch plasma televisions (Consumer Report data slightly
changed here):
Brand
Price (X)
Score (Y)
Dell
2900
50
Hisense
2800
52
Hitachi
2700
45
JVC
3500
60
LG
3300
56
Maxent
2000
30
Panasonic
4200
68
Phillips
3100
56
Proview
2500
35
Samsung
3000
48
Use the above data to develop and estimated regression equation
and interpret the coefficients. Compute Coefficient of
Determination and correlation coefficient and show their
relation. Interpret the explanatory power of the model. Estimate
the overall score for a 42-inch plasma television with a price of
$3400. Finally, test the significance of the slope coefficient.
(Note that you need to answer all parts of the question and
provide necessary interpretations to get full points).
1
OBJECTIVE:
To secure a position where I can utilize my experience and
skills to provide outstanding quality service; as well as impact
my employer resulting in upward mobility as well as personal
satisfaction.
EDUCATION:
Bachelor of Science in Public Health
Anticipated Graduation: May 2020
Concentration in Health promotion & Behavioral Science
Associates of Art
Graduation :June 2018
Community College
EXPERIENCE: Barnes & Noble
Bookseller
· Assisted customers in returns and exchanges
· Responsible for making sure each customer was satisfied with
their experience
· Help customers locate multimedia in person and over the
phone
Eye Health ServicesIntern
· Assisted with educating public about program that
aids children without healthcare
· Responsible for contacting patients if eligible for free eye care
· Assisted with on camps screening
· Maintained up-to-date client files on facility database.
· Managed incoming and outgoing correspondence through
phone, mail and email.
· Troubleshot and resolved any problems and/or customer
complaints. Effective at dealing with conflict resolutions.
SKILLS & ABILITIES:
· Demonstrated experience working with non-profit
organizations
· Self-motivated, efficient, and reliable under pressure
· Excellent communication and interpersonal skills
· ability to multi-task effectively
· Bilingual in Spanish and English
ACTIVITIES & AWARDS
· PERIOD organization(collects feminine products and gives
them away to those in need)
August 2019- present
· Women in Leadership
August 2019- present
· Public Health Society
August 2019
· Member, Hispanic Student Association
August 2018-Present
· Dean’s List,
August 2018-Present
· China Study Abroad
June 2018
· Recipient, China study award scholarship
June 2018
· Spain Study Abroad
July 2017
· Recipient, Global Navigator Scholarship
July 2017
“Click, click” the camera flashed and before I knew it I walked
across the stage, I had just received my first college degree.
Next week I would be walking across to receive my high school
diploma. I thought to myself at 17?
The first time I encountered a health course was it was summer
17. The course, community health, I looked up the description
and it indicated…
I never looked at Health as an important variable in my life. I
recall watching An The Band Played On , In which was about
the AIDS Epidemic and knives over forks, these documentaries
and movies focus on the health and wellness aspect. At this
period of time I also begin to incorporate and expose
myself/discovered that I enjoyed exploring and learning about
traveling and off I begin my research through my modeled
United Nations class. I then was fascinated and decided to take
matters into my own hands;I applied to a program in Madrid,
Spain and later won a scholarship or took me abroad for a total
of a month.
I was able to immerse myself into the culture anything it to
study data that involved the (AIDS).
Senior year of high school had the opportunity to get an
internship at eye care for kids, insert description.
I am able to graduate with a degree and a diploma in 2018 June.
17 I’m able to attend transfer and attend college at the
University and Texas at San Antonio I continue to choose public
health as my major. I decide to join The public health society,
PERIOD at UTSA , Women in leadership. Professors and peers
about expanding and they tell me that I am on the right path and
they discussed that I have made the right decision to continue
my education and get my Masters.
At UTSA I was able to take courses such as global health,
United States healthcare systems, and intro to epidemiology.
These courses motivated me to get an internship Prevent
Blindness Texas. This opened my eyes to understand that there
is a need for epidemiologist research in health disparities in my
minority groups,global health and substance abuse.
I’m still on my academic path and I’m very ready to pursue my
masters degree. I believe the UT health is able to push me too…
Through Their specific concentrations by cardiovascular
disease, diabetes malicious and other chronic diseases, health
services research, injury violence and substance abuse. I’ve
been able to learn with competency through my various
journeys abroad and I feel as if this a major component to
motivate to continue???
Resilience?
Persistence?
(Talk about skills?)
By choosing UT health I would have the privilege of continuing
my ….. with Women in leadership and new organizations

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  • 1. Eco 302: Spring 20-Assignment 2: Chapters: 8, 9, 10, and 13: Total 250 points due by Midnight (11:59 pm), Sunday, April 26th, 2020 True / False Questions (2 points each) Chapter 8 1. The sampling distribution of must be a normal distribution. 2. The sample variance has a divisor of n-1 rather than n is which makes the sample variance and the sample standard deviation unbiased estimators of the population values. 3. The standard deviation of the sampling distribution of the sample mean decreases as the sample size increases. 4. If a population is known to be normally distributed, then it follows that the sample mean must equal the population mean. 5. If the sampled population is a normal distribution, then the sampling distribution of must be normal for large samples but may not be normal for a small sample. 6. The mean of the sampling distribution of (X-bar) is always equal to the mean of the sampled population. Chapter 9 7. Assuming the same level of significance , as the sample size increases, the value of t/2 falls below the value of z/2. 8. When constructing a confidence interval for a sample proportion, the t distribution is appropriate whenever the population standard deviation is not known, whether the sample size is large or small. 9. When the level of confidence and sample proportion p remain the same, a confidence interval for a population proportion p based on a sample of n = 100 will be narrower than a confidence interval for p based on a sample of n = 400. 10. When the level of confidence and the sample size remain the same, a confidence interval for a population mean µ will be wider, when the sample standard deviation s is larger than when
  • 2. s is smaller. Chapter 10 11. The further the hypothesized mean is from the actual mean the greater the power of the test. 12. The manager of the quality department for a tire manufacturing company wants to know the average tensile strength of rubber used in making a certain brand of radial tire. She knows the population standard deviation and uses a Z test to test the null hypothesis that the mean tensile strength is 800 pounds per square inch. The calculated Z test statistic is a positive value that leads to a p-value of .047 for the test. If the significance level is .05, the null hypothesis would be rejected. 13. The larger the p-value, the more we doubt the null hypothesis. 14. You cannot make a Type II error when the null hypothesis is true. 15. A Type II error is rejecting a true null hypothesis. 16. When conducting a hypothesis test about a single mean, other relevant factors held constant, increasing the level of significance from .05 to .10 will reduce the probability of a Type I error. 17. When conducting a hypothesis test about a single mean, other relevant factors held constant, increasing the level of significance from .05 to .10 will reduce the probability of a Type II error. 18. The null hypothesis always includes an equal (=) sign. 19. When the null hypothesis is true, there is no possibility of making a Type I error. Chapter 13 20. The error term is the difference between an individual value of the dependent variable and the corresponding mean value of the dependent variable. 21. The residual is the difference between the observed value of the dependent variable and the predicted value of the dependent variable.
  • 3. 22. The slope of the simple linear regression equation represents the average change in the value of the dependent variable per unit change in the dependent variable (Y). 23. A significant positive correlation between X and Y does not imply that changes in X cause Y to change. 24. The correlation coefficient is the ratio of explained variation to total variation. 25. When using simple regression analysis, if there is a strong correlation between the independent and dependent variable, then we can conclude that an increase in the value of the independent variable causes an increase in the value of the dependent variable. Multiple Choices (4 Points Each) Chapter 8 1. If the sampled population has a mean 48 and standard deviation 18, then the mean and the standard deviation for the sampling distribution of (X-bar) for n = 9 are: A. 48 and 18 B. 48 and 9 C. 16 and 6 D. 48 and 6 E. 48 and 2 2. A manufacturing company measures the weight of boxes before shipping them to the customers. If the box weights have a population mean and standard deviation of 90 lbs. and 24 lbs. respectively, then based on a sample size of 36 boxes, the probability that the average weight of the boxes will be more than 94 lbs. is: A. 34.13% B. 84.13% C. 15.87% D. 56.36% E. 16.87% 3. If a population distribution is known to be normal, then it follows that:
  • 4. A. The sample mean must equal the population mean B. The sample mean must equal the population mean for large samples C. The sample standard deviation must equal the population standard deviation D. All of the above E. None of the above 4. In a manufacturing process a machine produces bolts that have an average length of 3 inches with a variance of .03. If we randomly select three bolts from this process: What is the probability the mean length of the bolt is more than 3.16 inches? A. 5.48% B. 97.72% C. 94.52% D. 44.52% E. 2.28% 5. Whenever the population has a normal distribution, the sampling distribution of is normal or near normal distribution: A. For only large sample sizes B. For only small sample sizes C. For any sample size D. For only samples of size 30 or more Chapter 9 7. The width of a confidence interval will be: A. Narrower for 99% confidence than 95% confidence B. Narrower for a sample size of 100 than for a sample size of 200 C. Wider for 95% confidence than 90% confidence D. Wider when the sample standard deviation (s) is small than when s is large 7. As standard deviation increases, samples size _____________ to achieve a specified level of confidence. A. Increases B. Decreases
  • 5. C. Remains the same 8. When the level of confidence and sample standard deviation remain the same, a confidence interval for a population mean based on a sample of n = 100 will be ______________ a confidence interval for a population mean based on a sample of n = 150. A. Wider than B. Narrower than C. Equal to 9. When a confidence interval for a population proportion is constructed for a sample size n =30 and the value of p =.4, the interval is based on: A. The Z distribution without continuity correction B. The Z distribution with continuity correction C. Skewed distribution D. None of the above 10. . In a manufacturing process a random sample of 9 bolts manufactured has a mean length of 3 inches with a variance of .09. What is the 90% confidence interval for the true mean length of the bolt? A. 2.8355 to 3.1645 B. 2.5065 to 3.4935 C. 2.8140 to 3.1860 D. 2.4420 to 3.5580 E. 2.9442 to 3.0558 11. The internal auditing staff of a local manufacturing company performs a sample audit each quarter to estimate the proportion of accounts that are delinquent (more than 90 days overdue). For this quarter, the auditing staff randomly selected 400 customer accounts and found that 80 of these accounts were delinquent. What is the 99% confidence interval for the proportion of all delinquent customer accounts at this manufacturing company?
  • 6. A. .1608 to .2392 B. .1992 to .2008 C. .1671 to .2329 D. .1485 to .2515 E. .1714 to .2286 12. The internal auditing staff of a local manufacturing company performs a sample audit each quarter to estimate the proportion of accounts that are current (between 0 and 60 days after billing). The historical records show that over the past 8 years 70 percent of the accounts have been current. Determine the sample size needed in order to be 95% confident that the sample proportion of the current customer accounts is within .03 of the true proportion of all current accounts for this company. A. 1842 B. 1548 C. 897 D. 632 E. 1267 Chapter 10 13. When testing a null hypothesis about a single population mean and the population standard deviation is unknown, if the sample size is less than 30, one compares the computed test statistic for significance with a value from the ___________ distribution. A. t B. Z C. Binomial D. Skewed distribution 14. For a given hypothesis test, if we do not reject H0 and H0 is true. A. No error has been committed B. Type I error has been committed C. Type II error has been committed
  • 7. D. Type III error has been committed 15. If a null hypothesis is not rejected at a significance level of .05, it will ______ be rejected at a significance level of .01 A. Always B. Sometimes C. Never 16. If a two-sided null hypothesis is not rejected for a single mean at a given significance level, the corresponding one-sided null hypothesis (i.e., the same sample size, the same standard deviation and the same mean) will _________ be rejected at the same significance level. A. Always B. Sometimes C. Never 17. A professional basketball player is averaging 21 points per game. He will be retiring at the end of this season. The team has multiple options to replace him. However, the owner feels that signing a replacement is only justified, if he can average more than 22 points per game. Which of the following are the appropriate hypotheses for this problem? A. H0: 21 vs. H: > 21 B. H0: 22 vs. H: > 22 C. H0: 21 vs. H: < 21 D. H0: 22 vs. H: < 22 18. When carrying out a large sample test of H0: = 10 vs. Ha: > 10 by using a critical value, we reject H0 at level of significance when the calculated test statistic is: A. Less than z B. Less than- z C. Greater than z/2 D. Greater than z E. Less than the p value Chapter 13 19. In a simple linear regression analysis, the correlation
  • 8. coefficient (a) and the slope (b) _____ have the same sign. A. Always B. Sometimes C. Never 20. The least squares regression line minimizes the sum of the A. Differences between actual and predicted Y values B. Absolute deviations between actual and predicted Y values C. Absolute deviations between actual and predicted X values D. Squared differences between actual and predicted Y values E. Squared differences between actual and predicted X values 21. The ___________ the R2 and the __________ the s (standard error), the stronger the relationship between the dependent variable and the independent variable. A. Higher, lower B. Lower, higher C. Lower, lower D. Higher, higher 22. In simple regression analysis, the quantity that gives the amount by which Y (dependent variable) changes for a unit change in X (independent variable) is called the A. Coefficient of determination B. Slope of the regression line C. Y intercept of the regression line D. Correlation coefficient E. Standard error 23. A simple bivariate regression analysis with 21 observations would yield ________ degrees of freedom error and _________ degrees of freedom total. A. 1, 20 B. 18, 19 C. 19, 20 D. 1, 19 E. 18, 20
  • 9. 24. The correlation coefficient may assume any value between A. 0 and 1 B. - and C. 0 and 8 D. -1 and 1 E. -1 and 0 25. In simple regression analysis, if the correlation coefficient is a positive value, then A. The Y intercept must also be a positive value B. The coefficient of determination can be either positive or negative, depending on the value of the slope C. The least squares regression equation could either have a positive or a negative slope D. The slope of the regression line must also be positive E. The standard error of estimate can either have a positive or a negative value Essay type Questions (10 points each)Chapter 8 1 Packages of sugar bags for Sweeter Sugar Inc. have an average weight of 20 ounces and a standard deviation of 0.25 ounces. The weights of the sugar bags are normally distributed. What is the probability that 25 randomly selected packages will have an average weight less than 19.97 ounces? Chapter 9 2. A sample of 25 items yields = 60 grams and s = 5 grams. Assuming a normal parent distribution, construct a 99 percent confidence interval for the population mean weight. 3. Of a random sample of 600 trucks at a bridge, 120 had bad signal lights. Construct a 90 percent confidence interval for the percentage of trucks that had bad signal lights. 4. A cable TV company wants to estimate the percentage of cable boxes in use during an evening hour. An approximation based on previous surveys is 25 percent. The company wants the new estimate to be at the 90 percent confidence level and within 3 percent of the actual proportion. What sample size is needed?
  • 10. 5. Suppose that 55 percent of the voters in a particular region support a candidate. Find the probability that a sample of 900 voters would yield a sample proportion in favor of the candidate within 2 percentage points of the actual proportion. Chapter 10 6. Test H0: 8 versus HA: > 8, at = 0.05 and 0.01, given n = 25, = 8.07 and s = 0.16. Assume the sample is selected from a normally distributed population. 7. Test H0: π = 0.25 versus HA: π 0.25 with p = 0.33 and n = 100 at alpha = 0.05 and 0.10. 8. Test at α =.05 the hypothesis that a majority (more than 50%) of students favor the plus/minus grading system at a university if in a random sample of 400 students, 216 favor the system? 9. Test whether the sample evidence indicates that the average time an employee stays with a company in their current positions is less than 3 years when a random sample of 64 employees yielded a mean of 2.765 years and s = 0.8. Use = 0.01. Assume normal distribution. Chapter 13 10. Consumer Reports provided extensive testing and ratings for more than 100 HDTVs. An overall score, based primarily on picture quality, was developed for each model. In general, a higher overall score indicates better performance. The following (hypothetical) data show the price and overall score for the ten 42-inch plasma televisions (Consumer Report data slightly changed here): Brand Price (X) Score (Y) Dell
  • 13. 3000 48 Use the above data to develop and estimated regression equation and interpret the coefficients. Compute Coefficient of Determination and correlation coefficient and show their relation. Interpret the explanatory power of the model. Estimate the overall score for a 42-inch plasma television with a price of $3400. Finally, test the significance of the slope coefficient. (Note that you need to answer all parts of the question and provide necessary interpretations to get full points). 1 OBJECTIVE: To secure a position where I can utilize my experience and skills to provide outstanding quality service; as well as impact my employer resulting in upward mobility as well as personal satisfaction. EDUCATION: Bachelor of Science in Public Health
  • 14. Anticipated Graduation: May 2020 Concentration in Health promotion & Behavioral Science Associates of Art Graduation :June 2018 Community College EXPERIENCE: Barnes & Noble Bookseller · Assisted customers in returns and exchanges · Responsible for making sure each customer was satisfied with their experience · Help customers locate multimedia in person and over the phone Eye Health ServicesIntern · Assisted with educating public about program that aids children without healthcare · Responsible for contacting patients if eligible for free eye care · Assisted with on camps screening · Maintained up-to-date client files on facility database. · Managed incoming and outgoing correspondence through phone, mail and email. · Troubleshot and resolved any problems and/or customer complaints. Effective at dealing with conflict resolutions.
  • 15. SKILLS & ABILITIES: · Demonstrated experience working with non-profit organizations · Self-motivated, efficient, and reliable under pressure · Excellent communication and interpersonal skills · ability to multi-task effectively · Bilingual in Spanish and English ACTIVITIES & AWARDS · PERIOD organization(collects feminine products and gives them away to those in need) August 2019- present · Women in Leadership August 2019- present · Public Health Society August 2019 · Member, Hispanic Student Association August 2018-Present · Dean’s List, August 2018-Present · China Study Abroad June 2018 · Recipient, China study award scholarship June 2018 · Spain Study Abroad July 2017 · Recipient, Global Navigator Scholarship July 2017 “Click, click” the camera flashed and before I knew it I walked across the stage, I had just received my first college degree.
  • 16. Next week I would be walking across to receive my high school diploma. I thought to myself at 17? The first time I encountered a health course was it was summer 17. The course, community health, I looked up the description and it indicated… I never looked at Health as an important variable in my life. I recall watching An The Band Played On , In which was about the AIDS Epidemic and knives over forks, these documentaries and movies focus on the health and wellness aspect. At this period of time I also begin to incorporate and expose myself/discovered that I enjoyed exploring and learning about traveling and off I begin my research through my modeled United Nations class. I then was fascinated and decided to take matters into my own hands;I applied to a program in Madrid, Spain and later won a scholarship or took me abroad for a total of a month. I was able to immerse myself into the culture anything it to study data that involved the (AIDS). Senior year of high school had the opportunity to get an internship at eye care for kids, insert description. I am able to graduate with a degree and a diploma in 2018 June. 17 I’m able to attend transfer and attend college at the University and Texas at San Antonio I continue to choose public health as my major. I decide to join The public health society, PERIOD at UTSA , Women in leadership. Professors and peers about expanding and they tell me that I am on the right path and they discussed that I have made the right decision to continue my education and get my Masters. At UTSA I was able to take courses such as global health, United States healthcare systems, and intro to epidemiology. These courses motivated me to get an internship Prevent
  • 17. Blindness Texas. This opened my eyes to understand that there is a need for epidemiologist research in health disparities in my minority groups,global health and substance abuse. I’m still on my academic path and I’m very ready to pursue my masters degree. I believe the UT health is able to push me too… Through Their specific concentrations by cardiovascular disease, diabetes malicious and other chronic diseases, health services research, injury violence and substance abuse. I’ve been able to learn with competency through my various journeys abroad and I feel as if this a major component to motivate to continue??? Resilience? Persistence? (Talk about skills?) By choosing UT health I would have the privilege of continuing my ….. with Women in leadership and new organizations