A systems specialist has studied the workflow of clerks, all doing the same processing job. She has designed a new workflow layout for a clerical workstation and wants to compare average production (as measured by units assembled per hour) for the new method with production for the older method. Nine clerks are available for the test. After ample familiarization with the new station, each clerk is assigned a common task. The order of stations is randomized. Assuming the necessary assumptions are met, test the hypothesis that the new station facilitates a more productive work rate.

Workstation	1	2	3	4	5	6	7	8	9
Old-rate	66	77	65	73	84	82	72	71	74
New-rate	68	87	69	73	87	88	70	69	80
New-Old	+2	+10	+4	0	+3	+6	-2	-2	+6

Using alpha =0.01, we can conclude that the new workstation facilitates a faster work rate.

A. True

B. False

For the sample of nine clerks, the average increase in productivity was 2.25 units assembled per hour.

A. True

B. False

If the null hypothesis is correct, the probability of getting a sample mean larger than 3 units per hour is .0133 (or 1.33%).

A. True

B. False

The standard error of the mean for this test is measured in units assembled per hour.

A. True

B. False