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EXERCISES 627<br />

If we wish to test the same hypothesis using the chi-square approach, our contingency<br />

table will be<br />

Characteristic Present<br />

Sample Yes No Total<br />

1 60 40 100<br />

2 48 72 120<br />

Total 108 112 220<br />

By Equation 12.4.1 we compute<br />

X 2 =<br />

220316021722 - 1402148242<br />

11082111221100211202<br />

= 8.7302<br />

which is significant at the .05 level because it is greater than the critical value of<br />

3.841. We see, therefore, that we reach the same conclusion by both methods. This<br />

is not surprising because, as explained in Section 12.2, x We note that<br />

8.7302 = 12.954692 2 and that 3.841 = 11.962 2 112 2 = z 2 .<br />

.<br />

EXERCISES<br />

In the exercises that follow perform the test at the indicated level of significance and determine<br />

the p value.<br />

12.5.1 Refer to the study by Carter et al. (A-9), who investigated the effect of age at onset of bipolar disorder<br />

on the course of the illness. One of the variables studied was subjects’ family history. Table<br />

3.4.1 shows the frequency of a family history of mood disorders in the two groups of interest:<br />

early age at onset (18 years or younger) and later age at onset (later than 18 years).<br />

Family History of Mood<br />

Disorders Early … 181E2 Later 7 181L2 Total<br />

Negative (A) 28 35 63<br />

Bipolar disorder (B) 19 38 57<br />

Unipolar (C) 41 44 85<br />

Unipolar and bipolar (D) 53 60 113<br />

Total 141 177 318<br />

Source: Tasha D. Carter, Emanuela Mundo, Sagar V. Parkh, and James L. Kennedy,<br />

“Early Age at Onset as a Risk Factor for Poor Outcome of Bipolar Disorder,” Journal<br />

of Psychiatric Research, 37 (2003), 297–303.<br />

Can we conclude on the basis of these data that subjects 18 or younger differ from subjects older<br />

than 18 with respect to family histories of mood disorders Let a = .05.

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