Using the data set below; compose an email to the head of the American
Intellectual Union which discusses the following:
How you would use the concept of probabilities to apply to profiles for
hiring more satisfied individuals? Job Satisfaction is an attitude about
one’s job. It may be measured globally or via facets (e.g., intrinsic
/ extrinsic). However, job satisfaction is a post hoc phenomenon. Using
"profiles" developed via the Data Set to predict job satisfaction is not
feasible. Further, the only variables you could use would be gender,
age, department, position. To say, for example, that salaried females
between 22-49 years of age and working in IT are more likely to be
satisfied says noting about potential hires. It probably says more about
the way the department is managed and the resources available to
accomplish tasks. Finally, unless job satisfaction is a performance
criterion, it would most likely be illegal to use this concept.
Other ways that probability is used in business (Feel free to use the
Business Source Elite Database in the Cybrary as a resource to research
how probability is used in business).
Begin your email to AIU by first providing an overview of the database,
i.e., a story.
Include the following pieces of information.
Part I
a) What is the gender distribution (%females and %males)?
b) What is the “tenure with company” distribution by gender?
c) What % of the survey participants are in each department?
d) What is the mean overall satisfaction by gender?
Part II
Keeping in mind that in this email you are going to try to apply
probabilities to profile hiring more satisfied individuals, discuss the
following in your email.
a) If we choose a person at random from this database: - What is the
probability that this person will be female?
If we choose a person at random from this database: -What is the
probability that this person will be between 22 and 49 years old?
If we choose a person at random from this database: -What is the
probability that their overall job satisfaction is 4.7 or lower?
b) If we choose a person at random from this database: -What is the
probability that this person will be a male in the information
technology department?
If we choose a person at random from this database: -What is the
probability that this person will be an hourly employee whose intrinsic
satisfaction is 6 or more?
c) Calculate the correlation between age and tenure with the company.
Explain your results.
Part III
In your email you need to also address other ways that probability is
used in business.
Data Set:
GENDER AGE DEPT POSITION TENURE OVERALL INTRINSIC EXTRINSIC
2 2 3 2 3 6.2 6.33 7
1 1 1 1 2 4.6 3.83 6.5
1 2 3 1 1 2.4 5.33 6
2 2 3 2 1 5.8 6.17 3
1 2 3 2 1 2.8 5.33 3
1 1 2 1 2 2.6 5.33 4
2 1 3 1 2 3.8 4 5
1 2 3 1 1 6.6 6.17 2.5
1 3 3 2 2 7 5 6
1 3 3 2 3 5.4 6.33 5.5
2 2 3 2 1 5.6 5.2 6
1 1 1 1 2 5 6.17 5.5
2 2 2 2 2 4 5.17 4
2 2 3 1 1 3.6 6.67 6
2 2 3 1 2 4.8 4.17 6
1 1 2 2 2 4 5.17 5
2 2 2 1 1 4 4.67 4
1 2 3 2 1 1.6 2.67 4
2 3 2 1 2 6.6 5 6.5
2 1 1 2 2 4.6 4.25 5
2 2 3 2 1 1.6 5.17 4
2 2 3 1 1 2.8 6.17 6
2 2 2 1 2 3.6 6.5 4
2 2 3 2 2 2 3.67 1.5
1 2 3 1 1 6.8 6.83 6
1 2 2 1 2 5 4.83 5
2 2 3 2 2 2.6 6 2
1 2 3 1 1 6.4 4.5 6
2 1 2 1 1 4.2 6 6
2 2 2 2 1 5.4 3.17 5
1 2 3 2 1 4.4 5 7
1 2 3 1 1 5 4.17 6
2 2 2 1 1 3.8 4.33 4
2 2 2 1 3 3.2 5.17 1
2 2 3 1 1 5 5 4
1 2 3 1 1 7 7 7
2 3 2 2 1 4 5.5 6
1 2 3 1 2 6.8 7 5.5
2 2 2 2 3 3.8 5.33 6
2 2 2 1 1 4.6 4.33 6
2 2 3 1 3 3.2 4.67 4
2 2 2 1 2 2 3.67 6
1 2 3 1 1 6.2 5.67 7
1 2 3 1 2 4.6 5.17 6
2 2 3 1 1 4.8 5.5 6
2 2 3 2 3 5.4 6.17 5.5
1 2 3 1 2 5 5 5
1 2 3 1 1 4.2 5.83 6
1 3 3 1 3 4.6 4.67 4
1 3 2 2 1 3.2 3.83 4
2 2 3 2 3 4 6.17 5
2 2 3 2 1 3.8 6.17 5
2 3 3 2 1 4.2 4.5 6
2 2 2 2 3 5.6 6 5
2 2 3 1 3 5.6 5.83 6
1 2 3 1 1 7 6.83 7
2 2 3 1 1 4.6 5 6
2 3 2 2 1 2 5.83 2
1 3 3 1 1 2.8 5.67 1.5
1 2 3 1 1 3 4.33 5.5
2 2 2 2 1 3 5.24 6
1 1 2 1 2 4.6 5.67 2
2 2 2 1 2 4.6 5 4
2 2 3 1 1 5.4 5.67 7
2 2 2 1 1 5.2 6.17 2
1 2 3 1 1 4 4.67 6
1 2 3 1 1 5.2 5.17 2
2 2 3 2 1 4.8 5 2
1 2 3 2 1 3.4 7 6
1 3 3 2 1 3.4 4.5 6
1 3 3 1 1 3.6 5.17 6
1 3 3 2 1 4 5.5 6
1 2 2 1 1 1.8 3 3
2 3 2 2 2 4.8 5 6
1 2 2 1 3 3.6 4.83 2.5
2 2 2 1 1 4.2 5 6
2 1 2 1 1 4.8 4.5 5.5
1 2 2 1 1 5.4 4.67 6
2 2 3 1 3 4 4.17 6.5
1 2 3 1 1 4.8 5.5 4.5
1 2 3 2 3 4.4 3.33 6
2 1 3 1 2 4.8 5.17 4
1 3 3 2 1 2 5 6
1 2 3 1 1 4.8 5 6
2 2 2 1 1 4.6 6.33 6.5
2 3 3 2 1 3.8 6.33 5.5
1 2 3 2 1 6.6 7 5.5
2 2 3 1 2 3.6 6.67 6
1 2 2 2 3 2.6 3.83 3
2 2 2 1 1 5.4 5.67 4
1 3 3 1 1 3.2 5 6
2 2 3 2 3 2.4 5.33 3.5
2 2 3 1 2 4.6 4.75 5.5
2 3 2 1 1 4.6 4.5 3
2 2 3 2 3 4.2 4.83 4
1 3 3 2 1 4.6 4.33 5.5
2 2 2 1 1 3.2 6.5 5.5
2 2 2 2 2 4.2 6 7
2 2 3 2 3 4.4 5.5 7
2 2 2 2 3 3.4 6.17 6
1 2 2 1 2 3.2 4.83 6
2 2 2 2 1 4.6 6.33 7
1 2 3 1 1 5 4.83 6
2 2 2 2 1 2.8 4.33 5.5
2 2 3 1 1 3.8 5 1
2 3 2 1 3 3.8 2 1.5
2 2 2 1 1 1 2 1
2 1 1 2 2 3.8 5 6
2 1 2 2 1 5.6 6.83 7
1 3 2 2 2 6 6.33 6.5
1 2 3 1 2 2.2 4 2.5
1 2 3 1 1 3.4 4.5 4
2 2 2 1 1 4.2 7 5.5
1 2 2 2 2 4 4.67 6
2 2 3 2 1 4.2 3.5 1.5
2 2 3 1 1 6 6.67 3
1 2 3 1 1 3.4 5.33 2
2 1 3 1 2 3.6 4.83 4
2 2 3 2 1 3.8 4.83 4
1 2 3 2 1 6.6 6.83 6
2 3 3 2 1 3.8 4.83 7
2 1 2 2 2 4 4.5 1.5
1 2 3 1 1 5.2 5 6
2 2 3 2 1 1 5.17 1
2 2 3 2 2 6.2 7 7
1 2 3 2 1 7 6.83 6
2 2 2 1 3 5 3.5 5
1 2 2 1 1 7 6.5 6
2 2 2 2 3 5.2 5 6
2 1 2 2 2 2 5.17 1.5
2 1 2 2 2 2.8 4.5 6
2 2 2 1 1 5.6 5.33 5
1 2 3 1 1 2.6 4.5 4
1 2 3 2 1 3.2 4.33 2.5
2 1 1 1 1 6 6.67 6
2 2 3 2 1 3.4 5.5 6
2 2 2 2 2 2 4.5 7
1 2 3 1 1 6.6 5.17 5.5
2 2 3 2 1 6.2 4.83 4.5
1 3 3 2 1 5 5 2
1 1 2 2 1 2.6 4 5
2 2 2 2 2 5 5.17 6
1 1 3 1 2 5.6 5.67 6
1 2 3 2 1 4.4 5.67 6
2 1 1 1 2 3.6 5 4.5
1 1 1 1 2 2.2 4.17 4.5
1 2 3 1 2 7 7 7
1 2 3 2 1 1.8 4.33 3
1 3 3 2 1 3.6 4.17 6
1 2 3 1 1 4 5.17 2
2 1 1 1 2 6.2 6.33 5.5
1 2 2 1 3 5.8 5.83 5
1 2 3 1 1 4.6 6.17 3
2 2 3 1 1 4 4.67 4
1 2 3 1 1 5.8 6.17 7
2 2 2 1 1 5.4 4.83 6.5
2 1 2 2 3 3 3.67 4
2 2 3 2 1 5.8 5.67 7
2 2 3 2 1 3.2 5.33 1.5
1 1 2 1 1 2 4.67 2.5
1 3 3 1 1 4.6 5 6
1 1 3 2 1 4 5.33 6.5
1 2 3 1 1 3.4 4.67 6
2 3 3 2 1 3.4 6.33 4
2 3 3 2 3 4.4 5.3 5
2 2 3 1 3 6 7 3
1 3 3 1 3 5.2 5.67 5.5
2 2 3 2 3 6 6.83 6
1 3 3 2 3 5.6 5.83 6
2 3 2 2 3 7 7 1.5
1 3 3 1 3 1.8 5.33 5.5
2 1 1 2 2 4 3.5 3
2 2 3 1 1 3.8 5.5 4
2 2 3 2 2 5 3.17 4.5
2 2 3 2 1 3.2 5.33 4.5
1 2 3 1 1 2.6 5.67 6
2 3 3 2 1 2 5.67 6
2 2 2 2 2 3.6 5.33 3
1 2 2 2 1 5.6 5.67 4.5
1 2 3 1 1 4.8 4.33 6
2 2 3 2 3 5.4 5 6.5
2 2 3 1 1 6 5 7
2 2 3 1 1 4.4 5.33 4.5
1 1 3 1 1 4.2 4.17 5
2 2 3 1 1 4.6 5.33 6.5
2 1 3 1 1 4.2 5.67 4
2 2 3 1 1 5.8 6.33 6
1 1 2 1 2 3 4.67 6
2 2 2 1 1 2.2 1 1
1 3 3 1 3 5.2 4.33 4
2 2 3 1 2 1 4.67 5
1 2 3 2 1 4 4.5 6
1 2 3 2 3 2.2 6.17 1.5
2 2 3 1 1 6 6.67 5
2 2 2 1 1 5.6 6.33 6
2 2 3 2 1 5 7 2.5
2 2 2 2 3 4.8 4.67 4
1 3 2 1 1 6.2 4.83 4
2 3 2 1 3 1 5 1
2 2 3 1 1 5 5 7
2 2 3 1 1 4.4 6.5 5.2
2 2 3 2 2 5.6 5.83 5
2 1 2 2 1 5 5.17 4
1 3 3 1 1 4 5.5 6
2 2 2 1 1 4.6 5.33 3
1 1 3 1 2 5.8 7 5.5
2 3 3 1 3 2.4 4.33 6
1 1 2 2 3 3.8 3.83 3
2 2 2 2 3 4.2 4.67 3
2 1 3 1 1 3.8 6 6
1 2 3 2 1 4.8 4.33 6.5
1 2 3 2 1 3 5 6
1 2 3 1 1 4.8 6.33 6.5
1 1 3 1 2 2.8 5.5 5.5
2 1 3 1 1 5.4 5.33 6
2 2 3 2 3 3.2 3 6
2 1 3 1 1 6.2 6.33 6
2 2 3 1 2 6.2 5.67 2
1 2 3 1 2 7 6.5 6
2 2 3 1 1 5.6 6.17 6
1 3 3 1 1 4.6 5 6
1 2 3 1 1 4.6 4.5 4.5
1 2 3 2 1 2.8 5 1
2 2 2 2 2 4.4 3.5 4.5
2 2 2 1 1 5.8 4.17 5
2 2 2 1 1 4.6 5.17 3
1 2 2 2 1 4.8 5 7
2 2 1 1 1 4.2 7 5.5
1 3 2 2 2 5.2 6 5.2
2 1 2 1 1 2.2 5.17 5.5
2 1 2 2 1 6 5.33 7
2 2 3 1 3 3.4 4.5 6
2 2 2 2 1 3.8 5.17 6
2 1 2 2 2 3.6 6 7
2 2 3 2 1 5.4 4.5 7
2 2 3 2 1 4.2 6.33 6
1 2 3 1 1 5.2 5.33 5.5
2 2 2 1 1 4 6.33 2.5
2 2 2 1 1 5.8 7 6
2 1 2 2 1 1.8 3 4
2 2 2 2 1 2 7 6
1 1 2 1 2 3.6 4.17 4.5
2 2 3 1 2 4.6 4.17 6.5
2 2 2 2 1 3.2 5.17 5.5
1 2 2 2 1 5.8 4.67 5
1 3 2 2 1 2.6 5 1
2 1 2 2 2 4.8 6.83 6
2 2 2 2 2 4 4.5 4
2 2 2 2 2 3.6 4.17 2
2 2 3 1 3 5.8 5 6
1 2 3 2 3 1.8 5.33 6
1 3 3 1 1 5 6.17 7
2 2 3 2 2 1.8 4 1
2 2 3 1 1 6.2 7 5.5
2 2 3 2 1 2 5.33 1.5
1 1 3 1 1 4.6 5 3.5
1 3 3 2 1 6 6.17 6.5
2 2 3 1 3 6.2 5.67 4
2 2 3 1 3 5.8 5.83 6
1 3 3 2 1 3.4 6.17 5.5
1 3 3 1 1 6.2 5 6
1 1 2 1 2 1.6 5.67 5
2 1 3 2 1 5.8 5.83 3.5
1 2 3 2 1 4.6 4.5 5.5
2 2 2 1 1 5.8 6 5
2 2 3 1 1 3.6 5 4.5
2 3 2 2 3 4.4 4.17 3.5
2 2 3 2 3 5.8 5.5 6
2 2 1 2 3 4 4.17 4
1 2 3 1 3 5.4 5 6
2 1 2 1 2 5 5.33 5.5
1 2 3 1 1 4 4.33 6
2 2 3 1 1 2.8 4.5 1
1 1 3 1 1 5.5 5 6
1 3 3 2 1 5.2 4.67 6
1 2 2 1 2 3.8 5 5.5
2 1 3 1 1 5 6.17 7
2 2 2 1 2 4.2 4.83 4.5
2 2 2 2 1 4.8 6.33 5
2 2 3 1 1 4 5 7
1 2 2 1 1 4.6 3.67 6
1 2 3 1 3 5.2 6.33 6
2 2 3 1 2 2 4.83 6.5
1 2 2 1 2 6 6.17 1
2 2 3 1 1 4 3.67 7
2 2 3 2 2 4.6 6.5 5.5
2 2 3 1 3 3 3.67 5
1 3 3 1 1 5.4 5.67 6.5
Data Set Key:
KEY TO JOB SATISFACTION SURVEY
Gender Tenure With Company
1 Male 1 Less than 2 years
2 Female 2 2 to 5 years
Age 3 Over 5 Years
1 21 and under
2 22-49 OVERALL Scale from 1-7
3 50 and over JOB SATISFACTION 1= Least Satisfied
Department 7= Most Satisfied
1 Human Resources
2 Information Technology INTRINSIC Scale from 1-7
3 Administration JOB SATISFACTION 1= Least Satisfied
7= Most Satisfied
Position
1 Hourly Employee (Overtime Eligible) EXTRINSIC Scale from 1-7
2 Salaried Employee (No Overtime) JOB SATISFACTION 1= Least Satisfied
7= Most Satisfied
Statistics Homework Solutions
#85374
Statistics
(See attached file for full problem description and data)
Using the data set below; compose an email to the head of the American Intellectual Union which discusses the following:
1. How you would use the concept of probabilities to apply to profiles for hiring more satisfied individuals? Job Satisfaction is an attitude about one's job. It may be measured globally or via facets (e.g., intrinsic / extrinsic). However, job satisfaction is a post hoc phenomenon. Using "profiles" developed via the Data Set to predict job satisfaction is not feasible. Further, the only variables you could use would be gender, age, department, position. To say, for example, that salaried females between 22-49 years of age and working in IT are more likely to be satisfied says noting about potential hires. It probably says more about the way the department is managed and the resources available to accomplish tasks. Finally, unless job satisfaction is a performance criterion, it would most likely be illegal to use this concept.
2. Other ways that probability is used in business (Feel free to use the Business Source Elite Database in the Cybrary as a resource to research how probability is used in business).
Begin your email to AIU by first providing an overview of the database, i.e., a story.
Include the following pieces of information.
Part I
a) What is the gender distribution (%females and %males)?
b) What is the "tenure with company" distribution by gender?
c) What % of the survey participants are in each department?
d) What is the mean overall satisfaction by gender?
Part II
Keeping in mind that in this email you are going to try to apply probabilities to profile hiring more satisfied individuals, discuss the following in your email.
a) If we choose a person at random from this database: - What is the probability that this person will be female?
If we choose a person at random from this database: -What is the probability that this person will be between 22 and 49 years old?
If we choose a person at random from this database: -What is the probability that their overall job satisfaction is 4.7 or lower?
b) If we choose a person at random from this database: -What is the probability that this person will be a male in the information technology department?
If we choose a person at random from this database: -What is the probability that this person will be an hourly employee whose intrinsic satisfaction is 6 or more?
c) Calculate the correlation between age and tenure with the company. Explain your results.
Part III
In your email you need to also address other ways that probability is used in business.
What is this?
By OTA - Overall OTA Rating
Changping Wang, MA - 4.9/5
Purchase Cost Now
$2.19 CAD (was ~$19.95)
Included in Download
- Plain text response
- Attached file(s):
- IP-Unit2-Help[1].doc
Why you can trust BrainMass.com
- Your Information is Secure
- Best Online Academic Help Service
- Students find real academic Success
- STATISCAL ANALYSIS - Details: Using our data set from Unit 1, compose an email to the head of the American Intellectual Union which discusses the following: Begin your email to AIU by first providing an overview of th ...
- Probability Distributions - Using our data set from Unit 1, compose an email to the head of the American Intellectual Union which discusses the following: Begin your email to AIU by first providing an overview of the database, i.e. a story. ... - The problem: Using our data set from Unit 1, compose an email to the head of the American Intellectual Union which discusses the following: Begin your email to AIU by first providing an overvie ...
- Concepts and Probabilities - Apply probabilities to profile hiring more satisfied individuals, discuss the following in your email: What is the gender distribution (% females and % males)? What is the "tenure with compan ...
- Probability Distributions - Using our data set from Unit 1, compose an email to the head of the American Intellectual Union which discusses the following: Begin your email to AIU by first providing an overview of the database, i ...
- Probability Distributions for AIU job satisfaction database - Using our data set from Unit 1, compose an email to the head of the American Intellectual Union which discusses the following: Begin your email by first providing an overview of the database, i.e. ...
