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. F = Nurse 4 5 6 3 4 5 6 4 3 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. (to 2 decimals) The p-value is greater than 0.10 What is your conclusion? We cannot reject the three professions. Tax Auditor 6 7 6 4 8 6 LSD = What is your conclusion? We cannot reject Fast-Food Worker 6 8 4 6 7 5 (to 2 decimals) 5 6 the null hypothesis that the mean scores are the same for b. Use Fisher's LSD procedure to compare the belief that a person's job will be automated for nurses and tax auditors. the null hypothesis that the two population means are equal.
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. F = Nurse 4 5 6 3 4 5 6 4 3 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. (to 2 decimals) The p-value is greater than 0.10 What is your conclusion? We cannot reject the three professions. Tax Auditor 6 7 6 4 8 6 LSD = What is your conclusion? We cannot reject Fast-Food Worker 6 8 4 6 7 5 (to 2 decimals) 5 6 the null hypothesis that the mean scores are the same for b. Use Fisher's LSD procedure to compare the belief that a person's job will be automated for nurses and tax auditors. the null hypothesis that the two population means are equal.
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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Question
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.
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.
Tax
Nurse
Auditor
4
6
5
7
6
6
3
4
4
8
5
6
6
4
3
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.
(to 2 decimals)
The p-value is greater than 0.10
What is your conclusion?
F =
We cannot reject
the three professions.
LSD =
What is your conclusion?
We cannot reject
Fast-Food
Worker
6
8
4
6
b. Use Fisher's LSD procedure to compare the belief that a person's job will be automated for
nurses and tax auditors.
7556
the null hypothesis that the mean scores are the same for
(to 2 decimals)
the null hypothesis that the two population means are equal.
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