There are related so I would really appreciate if you answer them all or at leas

Question

There are related so I would really appreciate if you answer them all or at least 2 out of 3

EXERCISES In a study of the effects of different interviewing techniques on the diastolic blood pre of interviewees, Williams et al. E18) obtained the results shown in Table 3.32. blood pressure In one type 3.14 of interview (CARD), the interviewee responded verbally to questions presented one a time on 3 x 5 index cards. The interviewer assumed a passive role. During a second of interview (INT), the interviewer tried to interact warmly and appropriately with th terviewee by asking questions and making appropriate comments while the interv answered the questions presented. Diastolic blood pressure was measured at on intervals during the interviews. Table 3.32 shows the classification of subjects with to mean diastolic blood pressure during interview and type of interview. at a iewee e-minute regard Can we conclude on the basis of these data that the proportion of "significant is higher in the population represented by the INT sample than that represented b CARD sample? Let 0.05. Determine the P value. y largers TABLE 3.32 Comparisons of mean diastolic pressure during interviews Significantly larger Smaller and no change Total Interview INT CARD Total Source: Redford B. Williams, Jr., Chase P. Kimball, and Harold N. Williard, "The Influence of Interpersonal 0 6 12 Interaction on Diastolic Blood Pressure," Psychosom. Med., 34 (1972), 194-198.

Explanation / Answer

4.2

As this is a before and after setup , hence we shall perform a paired t test . Moreover, we shall do the analysis using the open source statistical package R , the complete R snippet is as follows

Before <- c(4,3.2,3.8,1.8,3,5.3,5.7,3,2.7,2.9,2.8,1.8,2.6)
After <- c(3.1,3,3.5,1,1.8,3.9,2.2,2.1,1.4,2.9,2.6,1.4,2.5)

## t .test

t.test(Before,After, paired = TRUE, conf.level = 0.95)

The results are

t.test(Before,After, paired = TRUE, conf.level = 0.95)

   Paired t-test

data: Before and After
t = 3.3544, df = 12, p-value = 0.005733 , as the p value is less than 0.05 , hence the results are signficant
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
0.3019335 1.4211434
sample estimates:
mean of the differences
0.8615385

H0 : phenobarbital does not reduce total bilirubin level
H1 : phenobarbital does reduce total bilirubin level

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