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Using our data set from Unit 1, compose a 3-page e-mail to the head of the American Intellectual Union, which includes the following:
- 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.
- Be sure to include information about where statistics are being used in the workplace.
- Explain the value of statistics and its contribution to the success of an organization.
- Then, discuss the following in your e-mail:What is the distribution of individuals by gender?What is the “tenure with company” distribution by gender?What percentage of the survey participants are in each department?What is the sample mean for extrinsic value by gender?What is the probability that an individual will be between 16–21 years of age?What is the probability that an individual’s overall job satisfaction is 5.2 or lower?What is the probability that an individual will be a female in the human resources department?What is the probability that an individual will be a salaried employee whose intrinsic satisfaction value is 5 or more?
- RESEARCH REQUIRED: Be sure to include other ways that probability is used in business specifically how it contributes to the success of an organization. Feel free to use the Business Source Premier Database in the Library as a resource to research.
The e-mail should be well written and should flow well. It should comprise the body of a report that contains no grammatical errors. The report should include proper citation in APA formatting in both the in-text and reference pages and include a title page, be double-spaced and in Times New Roman 12-point font. APA formatting is necessary to ensure academic honesty.
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 |
||
|
Female s |
|||
|
Male s |
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 |
|
Information Technology |
|
Human Resources |
|
Administration |
Sample Mean for Extrinsic Value by Gender
|
Mean Extrinsic Value |
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.
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.
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 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. 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
15
O
0
0
56-60
67
5
5
25
125
60-65
72
4
10
40
400
65-70
77
1
15
15
225
50
-120
2650
Mean
Mean for sample data:
=62 – 2.4
Answer 59.6
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.
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 – 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
360
50-54
52
19
988
-1
1
19
55-59
57
20
1140
4
16
320
60-64
62
20
1240
9
81
1620
65-69
67
6
402
14
196
1176
70-74
72
2
144
19
361
722
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
· 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 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
