d fast-food workers in which a higher score means the person feels his or her job is more likely to be autor Тах Fast-Food Nurse Auditor Worker 4 6. 6. 5. 6. 6. 3. 6. 8. 4 6. 4 6. 4 4 8. differences in the belief that a person's job is likely to be automated for the three professions. als) ur answer- the null hypothesis that the mean scores are the same for the three professions.
d fast-food workers in which a higher score means the person feels his or her job is more likely to be autor Тах Fast-Food Nurse Auditor Worker 4 6. 6. 5. 6. 6. 3. 6. 8. 4 6. 4 6. 4 4 8. differences in the belief that a person's job is likely to be automated for the three professions. als) ur answer- the null hypothesis that the mean scores are the same for the three professions.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:A Pew Research study conducted in 2017 found that approximately 75% of Americans believe that robots and computers might one day do many of the jobs currently done by people (Pew Research
website, http://www.pewinternet.org/2017/10/04/americans-attitudes-toward-a-future-in-which-robots-and-computers-can-do-many-human-jobs/). Suppose we have the following data collected
from nurses, tax auditors, and fast-food workers in which a higher score means the person feels his or her job is more likely to be automated.
Таx
Fast-Food
Nurse
Auditor
Worker
4
5
6.
6
5
5
6.
6.
6.
4
4
4.
a. Use a = 0.05 to test for differences in the belief that a person's job is likely to be automated for the three professions.
F =
(to 2 decimals)
The p-value is
Select your answer -
What is your conclusion?
We - Select your answer - : the null hypothesis that the mean scores are the same for the three professions.
b. Use Fisher's LSD procedure to compare the belief that a person's job will be automated for nurses and tax auditors.
LSD =
(to 2 decimals)
What is your conclusion?
We
Select your answer - the null hypothesis that the two population means are equal.
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