Question

In: Statistics and Probability

A high-risk group of 710 male volunteers was included in a major clinical trial for testing...

A high-risk group of 710 male volunteers was included in a major clinical trial for testing a new vaccine for type B hepatitis. The vaccine was given to 403 persons randomly selected from the group, and the others were injected with a neutral substance (placebo). 19 of the vaccinated people and 31 of the nonvaccinated ones later got the disease.
We wish to test the hypothesis that the probability of getting type B hepatitis is different (higher or lower) for people who were vaccinated compared with people who were not, using the 5% significance level.
(a) If we use the contingency table method to test this hypothesis, find the 4 values in the expected table.
(b) Find the value of the test statistic (using the contingency table method) to 3 decimal places
(c) Find the critical value (using the contingency table method).
(d) Using the z-test for proportions, find the value of the test statistic (and verify that z2  =  χ2, when there is one degree of freedom). (2 decimal places)
(e) Find the p-value to 4 decimal places

Solutions

Expert Solution

Applying chi square test of independence:
Expected Ei=row total*column total/grand total disease no Total
vaccine 28.3803 374.6197 403.00
placebo 21.6197 285.3803 307.00
total 50.00 660.00 710.00
chi square    χ2 =(Oi-Ei)2/Ei disease no Total
vaccine 3.100 0.235 3.3353
placebo 4.070 0.3083 4.3782
total 7.1703 0.5432 7.713
test statistic X2 = 7.7135

a)

expected cell values =28.3803 , 374.6197 , 21.6197 , 285.3803

b)

test statistic X2 = 7.713

c)

for 1 df and 0.05 level , critical value       χ2= 3.841

d)

z =sqrt(7.713)=2.78

e_)

from excel: p value =2*(1-normsdist(2.78))= 0.0054


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