A manager wishes to see if the time (in minutes) it takes for their workers to complete a certain task will change when they are allowed to wear ear buds to listen to music at work. A random sample of...


A manager wishes to see if the time (in minutes) it takes for their workers to complete a certain task will change when they are allowed to wear ear buds to listen to music at work.

A random sample of 8 workers' times were collected before and after wearing ear buds. Assume the data is normally distributed.

Perform a Matched-Pairs hypotheis T-test for the claim that the time to complete the task has changed at a significance level of α=0.10


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(If you wish to copy this data to a spreadsheet or StatCrunch, you may find it useful to first copy it to Notepad, in order to remove any formatting.)
Round answers to 3 decimal places.


For this problem, μd=μAfter


- μ_Before,




where the first data set represents "after" and the second data set represents "before".




      Ho:μd=0

      Ha:μd≠0




This is the sample data:











































BeforeAfter
56.230.2
78.950.6
57.548.2
51.114.3
54.5-6.9
49.42.9
64.488.8
65.635.5



What is the mean difference for this sample?
Mean difference =



What is the test statistic for this sample?
Test statistic =



What is the P-value for this test?
P-value =



Jun 08, 2022
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