Running head: BUSN311 - Quantitative Methods and Analysis
1
Unit 2 – Probability and Distributions
Type your Name Here
School Name
Abstract
This is a single paragraph, no indentation is required. The next page will be an abstract; “a brief, comprehensive summary of the contents of the article; it allows the readers to survey the contents of an article quickly” (Publication Manual, 2010). The length of this abstract should be 35-50 words (2-3 sentences). NOTE: the abstract must be on page 2 and the body of the paper will begin on page 3.
Memo
To:
From:
Date:
Subject:
Dear [Recipient]:
Provide a brief introduction (2-3 sentences) to the email you are writing to provide a preview of what will be covered.
Overview of the Data Set
Provide an overview for the current data set. What variables does it include? Which are qualitative, which are quantitative? What categories are used and why are they used? Begin your e-mail to AIU by first providing an overview of the database, that is, a story about the characteristics that may include types of variables, etc.
Use of Statistics and Probability in the Real World
This is a great place for outside research. Be sure to include information about where statistics are being used in the workplace.
The Value of Statistics
Explain the value of statistics and its contribution to the success of an organization. This is a great place for outside research.
Distributions
Write a brief introduction (1-2 sentences) about the information you can find in a distribution table. Why is this information useful to AIU?
Then complete the following distribution tables. Please pay attention to whether you should present the results in terms of percentages or simple counts.
Distribution of Individuals by Gender
Gender
Percentage
Females
Males
Tenure with Company Distribution by Gender
Please note that you do NOT have to convert these into percentages. You may leave them in a count format.
Under 2 years
2-5 Years
Over 5 years
Male
Female
Percentage of the Survey Participants in Each Department
Department
Percentage
Information Technology
Human Resources
Administration
Sample Mean for Extrinsic Value by Gender
Gender
Mean Extrinsic Value
Male
Female
Probabilities
Write a brief 1-2 sentence introduction about which probabilities you will calculate and why the information is useful for AIU.
Then complete the following table. Please remember to always use the TOTAL number of respondents for your denominator when calculating each probability.
Classification
Count
Probability
Probability that an individual will be between 16–21 years of age
Probability that an individual’s overall job satisfaction is 5.2 or lower
Probability that an individual will be a female in the human resources department
Probability that an individual will be a salaried employee whose intrinsic satisfaction value is 5 or more
Probabilities in the Business World
RESEARCH REQUIRED: other ways that pro ...
The byproduct of sericulture in different industries.pptx
Running head BUSN311 - Quantitative Methods and Analysis 1.docx
1. Running head: BUSN311 - Quantitative Methods and Analysis
1
Unit 2 – Probability and Distributions
Type your Name Here
School Name
Abstract
This is a single paragraph, no indentation is required. The next
page will be an abstract; “a brief, comprehensive summary of
the contents of the article; it allows the readers to survey the
contents of an article quickly” (Publication Manual, 2010). The
length of this abstract should be 35-50 words (2-3 sentences).
NOTE: the abstract must be on page 2 and the body of the paper
will begin on page 3.
Memo
To:
From:
Date:
Subject:
Dear [Recipient]:
Provide a brief introduction (2-3 sentences) to the email you are
writing to provide a preview of what will be covered.
Overview of the Data Set
2. Provide an overview for the current data set. What variables
does it include? Which are qualitative, which are quantitative?
What categories are used and why are they used? Begin your e-
mail to AIU by first providing an overview of the database, that
is, a story about the characteristics that may include types of
variables, etc.
Use of Statistics and Probability in the Real World
This is a great place for outside research. Be sure to include
information about where statistics are being used in the
workplace.
The Value of Statistics
Explain the value of statistics and its contribution to the success
of an organization. This is a great place for outside research.
Distributions
Write a brief introduction (1-2 sentences) about the information
you can find in a distribution table. Why is this information
useful to AIU?
Then complete the following distribution tables. Please pay
attention to whether you should present the results in terms of
percentages or simple counts.
Distribution of Individuals by Gender
Gender
Percentage
Females
3. Males
Tenure with Company Distribution by Gender
Please note that you do NOT have to convert these into
percentages. You may leave them in a count format.
Under 2 years
2-5 Years
Over 5 years
Male
Female
Percentage of the Survey Participants in Each Department
Department
Percentage
Information Technology
Human Resources
Administration
Sample Mean for Extrinsic Value by Gender
Gender
Mean Extrinsic Value
Male
Female
4. Probabilities
Write a brief 1-2 sentence introduction about which
probabilities you will calculate and why the information is
useful for AIU.
Then complete the following table. Please remember to always
use the TOTAL number of respondents for your denominator
when calculating each probability.
Classification
Count
Probability
Probability that an individual will be between 16–21 years of
age
Probability that an individual’s overall job satisfaction is 5.2 or
lower
Probability that an individual will be a female in the human
resources department
Probability that an individual will be a salaried employee whose
intrinsic satisfaction value is 5 or more
Probabilities in the Business World
RESEARCH REQUIRED: other ways that probability is used in
business. Deductions for not using APA format are applied in
this section.
5. Conclusion
Write a brief conclusion that sums up the importance of the
information contained in this email. Sum it all up for the reader
in a few sentences in the same way you would do in a
professional environment!
Sincerely,
Leah Murray PLACEHOLDER ="" "[Your Name]" Leah Murray
Leah Murray * MERGEFORMAT
Your name
Your title
References
NOTE: The reference list starts on a new page after your
conclusion.
For help with formatting citations and references using rules
outlined in the APA Manual’s 6th Edition, please check out the
AIU APA guide located under the Interactive Learning section
on the left side of the course.
Examples:
American Psychological Association [APA]. (2010) Publication
manual of the American
Psychological association (6th ed.). Washington, DC: Author.
Association of Legal Writing Directors (ALWD) (2005). ALWD
citation manual: A professional
system of citation (3rd ed.). New York: Aspen Publishers.
6. Running head: BUSN311 - Quantitative Methods and Analysis
5
Unit 1 - Fundamentals of Statistics
Felisha McInnis
American InterContinental University
Abstract
In this essay reader will be able to understand qualitative data
by chosen gender or position and quantitative data by chosen
either intrinsic or extrinsic. Also the explanation of data that
was selected and examining sets of data that was learned will
also be explained. Microsoft excels with data use of mean
median mode measures and two measurement of variability
standard deviation and variance will be analysis for reader to
understand. In conclusion you will be able to know if the
measurement is applicable and chart and graph of each results
and why they are important in conveying information in a visual
format and standard deviation and variation are important and a
discussion of what was learned from the results in process.
Introduction
Most prominent studies in companies are job satisfaction, which
7. refers to a person’s contentment with his or her job. There are
some factors that can contribute to a person satisfaction in
workplace like environment, employee relations, salary, or even
work load. Satisfaction of a job is measured by the use of
rating scales where employees described their feedbacks to their
on the job environment. Over time theories have evolved the
perceived connections between job satisfaction and other
variable such as workplace productivity.
Chosen Variables
Job satisfaction is all about an employees serving that the work
is done completely and i=well with minimum or no errors. In
order to have a well entitled job satisfaction, there are a number
of factors to consider in job satisfaction. One of the reasons is
the personality of the employees and also the way the company
treats its employees. In the field of data satisfaction I will look
at gender and intrinsic.
Difference in variable types
Qualitative is non numerical measurement on set of objects and
people and quantitative is numerical measurement for set of
objects or people. The main aspect for the selection of the two
was to examine the reaction of the employees according to age
on the job satisfaction. The both on the positive and the
negative feedback on the data obtained. In the intrinsic area, the
survey was carried to help in also obtaining the employee job
satisfaction positive feedback on it.
The main aspect for the selection of the two was to examine the
reaction of the employees according to age on the job
satisfaction. The both on the positive and the negative feedback
on the data obtained. In the intrinsic area, the survey was
carried to help in also obtaining the employee job satisfaction
positive feedback on it.
Explanation of descriptive statistics
On the part of age, there are many who responded on the
data collection. More of them were clarifying that the data set
was only meant to be a way for a company to archive. Many
proved to be closely supervised in order to perform their duties.
8. Those of ages from 45 and above proved to be giving
satisfactory jobs since they have already been able to master
their duties and also they are aware of it very well. There are
also skilled and experts since their working experience in their
occupation have been taken for a long time.
Calculations on the mean, mode, median, variance and standard
deviation for both gender and intrinsic
The data collection of gender satisfaction from the age of 20 –
70. The data presented is a grouped data form
class
mid
frequency
d=x-A
fd
fd2
20-29
47
3
-15
-45
675
30-39
52
9
10
-90
900
40-49
57
13
-5
-65
325
50-55
62
10. Li is the lower limit of the median class.
is half the sum of the absolute frequency.
Fi-1 is the absolute frequency immediately below the median
class.
ai is the width of the class containing the median class.
The median is independent of the widths of the classes.
The median is 42.125
Mode
Where
· L is the lower class limit of the modal class
· f1 is the frequency of the modal class
· f0 is the frequency of the class before the modal class in the
frequency table
· f2 is the frequency of the class after the modal class in the
frequency table
· h is the class interval of the modal class
mode =53.4657.
Variance
In the group data we calculate it as
= 53-5.76
=47.24
Standard deviation
s.d=
= 6.873
Graph of the set of data
The data collection of intrinsic satisfaction from the age of 20 –
11. 70. The data presented is a grouped data form
class
mid
f
fx
d
d square
fd square
30-34
32
5
160
-21
441
2205
35-39
37
7
259
-16
256
1792
40-44
42
10
420
-11
121
1210
45-49
47
10
470
-6
36
13. 75-79
77
1
77
24
576
576
100
5300
10000
Mean
Mean for sample data:
5300/100
=53
Median
L + I *(N/2 - F)/f
Li is the lower limit of the median class.
is half the sum of the absolute frequency.
Fi-1 is the absolute frequency immediately below the median
class.
ai is the width of the class containing the median class.
The median is independent of the widths of the classes.
Median is = 51.678
Mode
where
· L is the lower class limit of the modal class
· f1 is the frequency of the modal class
· f0 is the frequency of the class before the modal class in the
frequency table
14. · f2 is the frequency of the class after the modal class in the
frequency table
· h is the class interval of the modal class
mode = 57.235
Variance
Variance= 100
Standard deviation
=10
Graph of the data set
Conclusion quantitative and qualitative research are two
approaches to gathering data and they can be used together and
two approaches get into similar methodology at time they look
for different types of information . Each has advantages and
disadvantages but what works best depends on what a person is
studying and hoe much information and detail you need.
References
Keller, G., & Warrack, B. (2000). Statistics for management and
15. economics. Pacific Grove: Duxbury Press.
Olia, M. (2008). Barron's FE fundamentals of engineering exam.
Hauppauge, N.Y: Barron's Educational Series.
Jang, J., & Tas, R. F. (2008). The impact of career motivation
and polychronicity on job
satisfaction and turnover intention among hotel industry
employees. Denton, Tex.: University of North Texas.
Newbold, P., Carlson, W. L., & Thorne, B. (2007). Statistics for
business and economics. Upper Saddle River, N.J: Pearson
Prentice Hall.
20-29 30-39 40-49 50-55 56-60 60-65
65-70 3 9 13 15 5 4 1 20-29
30-39 40-49 50-55 56-60 60-65 65-70
3 9 13 15 5 4 1