22. Perform the following hypothesis test to a 1% level of significance. Ho:u = 72 It is known that o = 4.6, and when 20 people are surveyed, it is found that = 74. You will find the corresponding z-score within this portion of the standard normal chart: H1:µ > 72 .00 .01 .02 .03 .04 1.9 2.0 .9713 .9772 9719 .9778 9726 .9783 .9732 .9788 .9738 .9793 a) Please circle the correct conclusion: reject Ho fail to reject Ho b) In a few sentences, explain why this is the correct conclusion. That is, explain in words what the math is telling us. It may help to use courtroom language like “guilty" or “not enough evidence" etc.
22. Perform the following hypothesis test to a 1% level of significance. Ho:u = 72 It is known that o = 4.6, and when 20 people are surveyed, it is found that = 74. You will find the corresponding z-score within this portion of the standard normal chart: H1:µ > 72 .00 .01 .02 .03 .04 1.9 2.0 .9713 .9772 9719 .9778 9726 .9783 .9732 .9788 .9738 .9793 a) Please circle the correct conclusion: reject Ho fail to reject Ho b) In a few sentences, explain why this is the correct conclusion. That is, explain in words what the math is telling us. It may help to use courtroom language like “guilty" or “not enough evidence" etc.
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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hello can you answer 22a and b
Transcribed Image Text:22. Perform the following hypothesis test to a 1% level of significance.
Ho:µ = 72
It is known that o = 4.6, and when 20 people are surveyed, it is found that x = 74. You will find the
corresponding z-score within this portion of the standard normal chart:
H1: µ > 72
.00
.01
.02
.03
.04
1.9
2.0
.9713
.9772
.9719
.9778
.9726
9783
.9732
.9788
.9738
.9793
a) Please circle the correct conclusion:
reject Ho
fail to reject Họ
b) In a few sentences, explain why this is the correct conclusion. That is, explain in words what the math
is telling us. It may help to use courtroom language like “guilty" or “not enough evidence" etc.
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