The following probability distributions of job satisfaction scores for a sample of information systems (IS) senior executives and middle managers range from a low of 1 (very dissatisfied) to a high of 5 (very satisfied). Job Satisfaction Score Probability IS Senior Executives IS Middle Managers 1 0.05 0.04 2 0.09 0.10 3 0.04 0.12 4 0.44 0.46 5 0.38 0.28 (a) What is the expected value of the job satisfaction score for senior executives? (b) What is the expected value of the job satisfaction score for middle managers? (c) Compute the variance of job satisfaction scores for executives and middle managers. executivesmiddle managers
The following probability distributions of job satisfaction scores for a sample of information systems (IS) senior executives and middle managers range from a low of 1 (very dissatisfied) to a high of 5 (very satisfied). Job Satisfaction Score Probability IS Senior Executives IS Middle Managers 1 0.05 0.04 2 0.09 0.10 3 0.04 0.12 4 0.44 0.46 5 0.38 0.28 (a) What is the expected value of the job satisfaction score for senior executives? (b) What is the expected value of the job satisfaction score for middle managers? (c) Compute the variance of job satisfaction scores for executives and middle managers. executivesmiddle managers
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 1SE: What term is used to express the likelihood of an event occurring? Are there restrictions on its...
Related questions
Concept explainers
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Topic Video
Question
QUESTION 6
The following probability distributions of job satisfaction scores for a sample of information systems (IS) senior executives and middle managers range from a low of 1 (very dissatisfied) to a high of 5 (very satisfied).
| Job Satisfaction Score |
Probability | |
|---|---|---|
| IS Senior Executives |
IS Middle Managers |
|
| 1 | 0.05 | 0.04 |
| 2 | 0.09 | 0.10 |
| 3 | 0.04 | 0.12 |
| 4 | 0.44 | 0.46 |
| 5 | 0.38 | 0.28 |
(a)
What is the expected value of the job satisfaction score for senior executives?
(b)
What is the expected value of the job satisfaction score for middle managers?
(c)
Compute the variance of job satisfaction scores for executives and middle managers.
executivesmiddle managers
(d)
Compute the standard deviation of job satisfaction scores for both probability distributions. (Round your answers to two decimal places.)
executivesmiddle managers
(e)
Compare the overall job satisfaction of senior executives and middle managers.
The average score for senior executives is ---Select--- lower than higher than equal to the middle managers score. The standard deviation for senior executives is ---Select--- lower than higher than equal to the middle managers standard deviation.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 2 images
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Recommended textbooks for you