Managers at an automobile manufacturing plant would like to examine the mean completion time, μ , of an assembly line operation. The past data indicate that the mean completion time is 43 minutes, but the managers have reason to believe that this value has changed. The managers plan to perform a statistical test. After choosing a random sample of assembly line completion times, the managers compute the sample mean completion time to be 42 minutes. The standard deviation of the population of completion times can be assumed not to have changed from the previously reported value of 6 minutes. Based on this information, answer the questions below. What are the null hypothesis ( H0 ) and the alternative hypothesis ( H1 ) that should be used for the test? H0 : μ is ?less thanless than or equal togreater thangreater than or equal tonot equal toequal to ?42643 H1 : μ is ?less thanless than or equal togreater thangreater than or equal tonot equal toequal to ?42643 In the context of this test, what is a Type I error? A Type I error is ?rejectingfailing to reject the hypothesis that μ is ?less thanless than or equal togreater thangreater than or equal tonot equal toequal to ?42643 when, in fact, μ is ?less thanless than or equal togreater thangreater than or equal tonot equal toequal to ?42643. Suppose that the managers decide not to reject the null hypothesis. What sort of error might they be making? ?Type IType II
Managers at an automobile manufacturing plant would like to examine the mean completion time, μ , of an assembly line operation. The past data indicate that the mean completion time is 43 minutes, but the managers have reason to believe that this value has changed. The managers plan to perform a statistical test. After choosing a random sample of assembly line completion times, the managers compute the sample mean completion time to be 42 minutes. The standard deviation of the population of completion times can be assumed not to have changed from the previously reported value of 6 minutes. Based on this information, answer the questions below. What are the null hypothesis ( H0 ) and the alternative hypothesis ( H1 ) that should be used for the test? H0 : μ is ?less thanless than or equal togreater thangreater than or equal tonot equal toequal to ?42643 H1 : μ is ?less thanless than or equal togreater thangreater than or equal tonot equal toequal to ?42643 In the context of this test, what is a Type I error? A Type I error is ?rejectingfailing to reject the hypothesis that μ is ?less thanless than or equal togreater thangreater than or equal tonot equal toequal to ?42643 when, in fact, μ is ?less thanless than or equal togreater thangreater than or equal tonot equal toequal to ?42643. Suppose that the managers decide not to reject the null hypothesis. What sort of error might they be making? ?Type IType II
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
Managers at an automobile manufacturing plant would like to examine the mean completion time,
, of an assembly line operation. The past data indicate that the mean completion time is
minutes, but the managers have reason to believe that this value has changed. The managers plan to perform a statistical test.
minutes. The standard deviation of the population of completion times can be assumed not to have changed from the previously reported value of
minutes.
μ
43
After choosing a random sample of assembly line completion times, the managers compute the sample mean completion time to be
42
6
Based on this information, answer the questions below.
What are the null hypothesis (
H0
H1
H0
μ
H1
μ
In the context of this test, what is a Type I error? A Type I error is ?rejectingfailing to reject the hypothesis that μ
μ
Suppose that the managers decide not to reject the null hypothesis. What sort of error might they be making? ?Type IType II |
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