Microsoft Office Tutorials and References

In Depth Information

For example, suppose that you tested college freshmen males on the perceived

effectiveness of ‘‘Ibuprofen’’ versus ‘‘Acetaminophen,’’ in which the males were

randomly assigned to use just one of these types of pain medication, and then to

rate its perceived effectiveness on a 100-point scale from 0 = poor to

100 = excellent. After the research study was completed, suppose that the

Ibuprofen group had 52 males in it, their mean effectiveness rating was 55 with a

standard deviation of 7, while the Acetaminophen group had 57 males in it and

their average effectiveness rating was 64 with a standard deviation of 13.

The formulas for analyzing these data to determine if there was a signiﬁcant

different in the effectiveness rating for freshmen males for these two types of pain

medication require you to use six numbers correctly in the formulas: the sample

size, the mean, and the standard deviation of each of the two groups. All six of

these numbers must be used correctly in the formulas if you are to analyze the data

correctly.

If you create a table to summarize these data, a good example of the table, using

both Step 1 and Step 2, would be the data presented in Fig.
5.1
:

Fig. 5.1 Basic table format

for the two-group t-test

For example, if you decide to call Group 1 the Ibuprofen group and Group 2 the

Acetaminophen group, the following table would place the six numbers from your

research study into the proper cells of the table as in Fig.
5.2
:

Fig. 5.2 Results of entering

the data needed for the

two-group t-test

You can now use the formulas for the two-group t-test with more conﬁdence

that the six numbers will be placed in the proper place in the formulas.

Note that you could just as easily call Group 1 the Acetaminophen group and

Group 2 the Ibuprofen group; it makes no difference how you decide to name the

two groups; this decision is up to you.

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