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Survey response data analysis

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(1) Gender (2) Age (3) Department (4) Position (5) Tenure
(6) Overall Job Satisfaction
(7) Intrinsic Job Satisfaction - Satisfaction with the actual performance of the job
(8) Extrinsic Job Satisfaction- Things external to the job, e.g., office location, your work colleagues, your own office (cubicle/hard walled office, etc), etc.

Using this database, 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 and other ways that probability is used in business (Use the Business Source Elite Database in the Cybrary, 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:
i. What is the probability that this person will be female?
ii. What is the probability that this person will be between 22 and 49 years old?
iii. 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:
i. What is the probability that this person will be a male in the information technology department?
ii. What is the probability that this person will be an hourly employee whose intrinsic satisfaction is 6 or more?

c ) We think that employees who are 21 years old and younger are "inexperienced" because they haven't worked for that long. We also think that employees who have been with the company for less than 2 years are "inexperienced" because they aren't familiar with how the company does things.

i. If we choose a person at random from this database, what is the probability that this person is "inexperienced"?
ii. If we think that employees who are either 50 or older, or who have more than 5 years with the company are "experienced", then what is the probability that a random person chosen from this database is "experienced"?
iii. Calculate the correlation between age and tenure with the company. Explain your results.

d ) Given that our employee chosen at random is an hourly employee,

i. What is the chance that this person is in administration?
ii. What is the chance that this person is either female or has an extrinsic job satisfaction of 4 or less?

Part III
In your email you need to also address other ways that probability is used in business

I am having a lot of trouble and do not understand this at all and I have limited time.

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This solution is provided in 1,733 words in an attached .doc file. It provides answers to each of the questions, and information is given to help the student understand how the problem can be solved.

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  • BSc , Wuhan Univ. China
  • MA, Shandong Univ.
Recent Feedback
  • "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
  • "excellent work"
  • "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
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