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

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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
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