Bayus (1991) studied the mean numbers of auto dealers visited by early and late replacement buyers. Letting u be the mean number of dealers visited by all late replacement buyers, set up the null and alternative hypotheses needed if we wish to attempt to provide evidence that u differs from 4 dealers. A random sample of 100 late replacement buyers yields a mean and a standard deviation of the number of dealers visited of = 4.24 and s= .55. Using a critical value and assuming approximate normality to test the hypotheses you set up by setting a equal to .10, .05, .01, and .001. Do we estimate that µ is less than 4 or greater than 4? (Round your answers to 3 decimal places.)
Bayus (1991) studied the mean numbers of auto dealers visited by early and late replacement buyers. Letting u be the mean number of dealers visited by all late replacement buyers, set up the null and alternative hypotheses needed if we wish to attempt to provide evidence that u differs from 4 dealers. A random sample of 100 late replacement buyers yields a mean and a standard deviation of the number of dealers visited of = 4.24 and s= .55. Using a critical value and assuming approximate normality to test the hypotheses you set up by setting a equal to .10, .05, .01, and .001. Do we estimate that µ is less than 4 or greater than 4? (Round your answers to 3 decimal places.)
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
![ta/2 = 0.05
ta/2 = 0.025
ta/2 = 0.005
ta/2 = 0.0005](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F88d18a19-21f4-41fb-afe0-306734676977%2Fa93c6f5a-ec72-4109-845d-7a54879b9e57%2Fzlix0pn_processed.png&w=3840&q=75)
Transcribed Image Text:ta/2 = 0.05
ta/2 = 0.025
ta/2 = 0.005
ta/2 = 0.0005
![Bayus (1991) studied the mean numbers of auto dealers visited by early and late replacement buyers. Letting u be the mean number of
dealers visited by all late replacement buyers, set up the null and alternative hypotheses needed if we wish to attempt to provide
evidence that µ differs from 4 dealers. A random sample of 100 late replacement buyers yields a mean and a standard deviation of the
number of dealers visited of a = 4.24 and s= .55. Using a critical value and assuming approximate normality to test the hypotheses
you set up by setting a equal to .10, .05, .01, and .001. Do we estimate that µ is less than 4 or greater than 4? (Round your answers to 3
decimal places.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F88d18a19-21f4-41fb-afe0-306734676977%2Fa93c6f5a-ec72-4109-845d-7a54879b9e57%2Fni1amnd_processed.png&w=3840&q=75)
Transcribed Image Text:Bayus (1991) studied the mean numbers of auto dealers visited by early and late replacement buyers. Letting u be the mean number of
dealers visited by all late replacement buyers, set up the null and alternative hypotheses needed if we wish to attempt to provide
evidence that µ differs from 4 dealers. A random sample of 100 late replacement buyers yields a mean and a standard deviation of the
number of dealers visited of a = 4.24 and s= .55. Using a critical value and assuming approximate normality to test the hypotheses
you set up by setting a equal to .10, .05, .01, and .001. Do we estimate that µ is less than 4 or greater than 4? (Round your answers to 3
decimal places.)
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