2. Pro football players earn huge salaries, but they have short professional careers. One sports magazine reported that the average career length is 4.3 years. A random sample of 40 retired players showed a sample mean career length of 5.2 years. We will accept the magazine's value for the population standard deviation = 2.3 years. Based on these data, is the population mean career length higher than the value reported in the magazine? Use a 5% level of significance.
2. Pro football players earn huge salaries, but they have short professional careers. One sports magazine reported that the average career length is 4.3 years. A random sample of 40 retired players showed a sample mean career length of 5.2 years. We will accept the magazine's value for the population standard deviation = 2.3 years. Based on these data, is the population mean career length higher than the value reported in the magazine? Use a 5% level of significance.
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 1 and 2
![Launch Meeting - Zoom
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@2
f2
W
X +
Choose TWO of the following five problems and write out a COMPLETE hypothesis test for each one. Include null
and alternative hypotheses, level of significance, distribution to be used with a sketch showing p-areas or critical
regions), the critical value and test statistic (if you are using that method) and/or the p-value (if you are using that
method). JUST TWO OF THEM!
1. A CEO wants to know whether management style affects the number of sick days taken by employees. Three
departments were studied, all having the same number of employees but different management styles. For a
random sample of three months, the numbers of sick days were as follows:
Employee Sick Days for Three Management Styles
Top-down management
Quality control teams
Informal employee input
19
15
12
28
15
14
18
What would you tell the CEO? Make sure to state your null and alternate hypotheses, sketch the appropriate
distribution and the critical region, showing the critical value and the value of the test statistic, and explain your
same population standard deviations.)
conclusion. Use a 5% level of significance. (Assume that the distributions are normal and have approximately the
2. Pro football players earn huge salaries, but they have short professional careers. One sports magazine reported
that the average career length is 4.3 years. A random sample of 40 retired players showed a sample mean
career length of 5.2 years. We will accept the magazine's value for the population standard deviation = 2.3
years. Based on these data, is the population mean career length higher than the value reported in the
magazine? Use a 5% level of significance.
0
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Transcribed Image Text:Launch Meeting - Zoom
cd.edu/courses/191939/quizzes/1457221/take
torials
Resources
@2
f2
W
X +
Choose TWO of the following five problems and write out a COMPLETE hypothesis test for each one. Include null
and alternative hypotheses, level of significance, distribution to be used with a sketch showing p-areas or critical
regions), the critical value and test statistic (if you are using that method) and/or the p-value (if you are using that
method). JUST TWO OF THEM!
1. A CEO wants to know whether management style affects the number of sick days taken by employees. Three
departments were studied, all having the same number of employees but different management styles. For a
random sample of three months, the numbers of sick days were as follows:
Employee Sick Days for Three Management Styles
Top-down management
Quality control teams
Informal employee input
19
15
12
28
15
14
18
What would you tell the CEO? Make sure to state your null and alternate hypotheses, sketch the appropriate
distribution and the critical region, showing the critical value and the value of the test statistic, and explain your
same population standard deviations.)
conclusion. Use a 5% level of significance. (Assume that the distributions are normal and have approximately the
2. Pro football players earn huge salaries, but they have short professional careers. One sports magazine reported
that the average career length is 4.3 years. A random sample of 40 retired players showed a sample mean
career length of 5.2 years. We will accept the magazine's value for the population standard deviation = 2.3
years. Based on these data, is the population mean career length higher than the value reported in the
magazine? Use a 5% level of significance.
0
M
C a OF
I
hp
f4
f7
f10
f11
9
34
f3
#
3
E
$
4
P
f5
16
21
%
5
f6
T
^
6
7
f8
fg
8
f12
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