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A researcher in the accounting industry would like to test the hypothesis that there is no difference in level of productivity between and 4-day and 5-day workweek.

A sample was taken from two different locations of one large accounting company. At one location, participants subscribed to a 5-day workweek. At the other, participants subscribed to a 4-day workweek.

Participants responded to the question:

"Out of a total of 100, during a typical week, how much of your total weekly workload are you able to complete during your workweek?" For example, an 80 would represent that you are able to complete 80% of your work for the week.

The following data shows the results table of the test conducted in Excel:

	4-day workweek productivity	5-day workweek productivity
Mean	78	71.96296296
Variance	235.3846154	235.3447293
Observations	27	27
Pooled Variance	235.3646724
Hypothesized Mean Difference	0
df	52
t Stat	1.445839502
P(T<=t) one-tail	0.077111351
t Critical one-tail	1.674689154
P(T<=t) two-tail	0.154222702
t Critical two-tail	2.006646805

What conclusions can the researcher make at a significance level of 0.05?

Tasks:

1. Conduct the 5-step hypothesis test. Label each step in your work. (6 marks)
2. interpret the conclusion in the context of given business problem. (2 marks)
3. In the input box, type in the calculated statistical value. Round to three decimal places.