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Probability calculation for AIU data set.

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******Please help me with this and show me how to do it.

Using our data set which is attached, Use the attached templete:

1.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.
2.Be sure to include information about where statistics are being used in the workplace.
3.Explain the value of statistics and its contribution to the success of an organization.
4.Then, discuss the following in your e-mail:
â-¦What is the distribution of individuals by gender?
â-¦What is the "tenure with company" distribution by gender?
â-¦What percentage of the survey participants are in each department?
â-¦What is the sample mean for extrinsic value by gender?
â-¦What is the probability that an individual will be between 16â?"21 years of age?
â-¦What is the probability that an individualâ??s overall job satisfaction is 5.2 or lower?
â-¦What is the probability that an individual will be a female in the human resources department?
â-¦What is the probability that an individual will be a salaried employee whose intrinsic satisfaction value is 5 or more?
5.Be sure to include other ways that probability is used in business. Feel free to use the Business Source Premier Database in the Library as a resource to research.

******Please help me with this.
The excel chart has to be done also with the Data Analysis tool pak. I attached it again. I don't know how to do excel.

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Probability calculation for AIU data set is given in the answer.

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Probability calculation for AIU job satisfaction data.

Using our data set from Unit 1, compose an email to the head of the American Intellectual Union which discusses the following:

Be sure to include information about 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 DataSet 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 nothing 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.)

Be sure to include other ways that probability is used in business. (Feel free to use the Business Source Premier Database in the Library as a resource to research.)

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:

What is the gender distribution (% females and % males)?
What is the "tenure with company" distribution by gender?
What % of the survey participants are in each department?
For each gender, what is the sample mean for overall satisfaction?
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?
What is the probability that their overall job satisfaction is 4.7 or lower?
What is the probability that this person will be a male in the information technology department?
What is the probability that this person will be an hourly employee whose intrinsic satisfaction is 6 or more?

GENDER AGE DEPT POSITION TENURE OVERALL INTRINSIC EXTRINSIC BENEFITS
1 3 3 1 1 4.7 4 4.1 5.2
1 1 1 1 3 4.5 4.2 4.7 6
1 3 1 2 2 6.5 4.2 6 4.6
1 3 3 1 2 4.2 4.3 5.6 5.3
1 1 3 1 2 6.4 3.2 5.5 4.5
1 1 3 1 1 6.6 4.5 4.4 4.2
1 2 2 2 1 4.5 4.7 4.4 5.2
1 1 1 1 2 6.1 4.9 6.9 5.9
1 2 3 1 2 5 4.9 4.6 5.6
1 3 2 2 3 4.2 5 6.2 5.5
1 2 1 1 1 4.1 5.5 5.5 4.1
1 3 1 2 2 5.1 5.6 4.9 4.7
1 2 1 1 2 6.5 5.6 5.5 4.9
1 1 2 2 2 6 5.7 4.6 3.6
1 1 3 1 1 4.7 5.7 5 4.9
2 3 1 1 1 6.7 5.9 6.1 5
2 1 3 1 2 4 6 4.7 5.7
2 2 1 1 2 4.6 6.2 4.6 4.6
2 1 1 1 2 6.2 6.5 6.1 5.7
2 3 3 1 1 4.3 6 4.4 4.6
2 2 3 1 1 4.5 6.2 6.5 5.4
2 2 1 1 3 5 6.3 6.2 5
2 3 2 2 1 5.4 4.2 4.7 4.6
2 1 3 2 2 6.9 4.4 5.5 4.7
2 2 2 2 3 4.3 4.6 4.6 4.4

KEY TO JOB SATISFACTION SURVEY
Gender
1 Male
2 Female
Age
1 21 and under
2 22-49
3 50 and over
Department
1 Human Resources
2 Information Technology
3 Administration
Position
1 Hourly Employee (Overtime Eligible)
2 Salaried Employee (No Overtime)
Tenure With Company
1 Less than 2 years
2 2 to 5 years
3 Over 5 Years
OVERALL Scale from 1-7
1 = Least Satisfied
7 = Most Satisfied
INTRINSIC Scale from 1-7
1= Least Satisfied
7= Most Satisfied
EXTRINSIC Scale from 1-7
1 = Least Satisfied
7 = Most Satisfied
BENEFITS Scale from 1-7
1= Least Satisfied
7= Most Satisfied

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