A high-risk group of 803 male volunteers was included in a
major clinical trial for testing a new vaccine for type B
hepatitis. The vaccine was given to 320 persons randomly selected
from the group, and the others were injected with a neutral
substance (placebo). 13 of the vaccinated people and 30 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 10% 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). |
(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). |
(e) | Find the p-value. |
Applying chi square test of independence: |
Expected | Ei=row total*column total/grand total | disease | no disease | Total |
vaccine | 17.1357 | 302.8643 | 320.00 | |
placebo | 25.8643 | 457.1357 | 483.00 | |
total | 43.00 | 760.00 | 803.00 | |
chi square χ2 | =(Oi-Ei)2/Ei | disease | no disease | Total |
vaccine | 0.998 | 0.056 | 1.0546 | |
placebo | 0.661 | 0.037 | 0.6987 | |
total | 1.6595 | 0.0939 | 1.753 | |
test statistic X2 = | 1.7534 |
a)
4 values in the expected table =17.1357 , 302.8643 , 25.8643 , 457.1357
b)
test statistic X2 = | 1.7534 |
c)
for 1 df and 0.1 level , critical value χ2= | 2.706 |
d)
z =sqrt(1.7534)=1.32
e)
p value =2*P(Z>1.32)=0.1868
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