In: Statistics and Probability
A doctor released the results of clinical trials for a vaccine to prevent a particular disease. In these clinical trials, 400,000 children were randomly divided in two groups. The subjects in group 1 (the experimental group) were given the vaccine, while the subjects in group 2 (the control group) were given a placebo. Of the 200,000 children in the experimental group, 47 developed the disease. Of the 200,000 children in the control group, 59developed the disease. Complete parts
Find the test statistic for this hypothesis test.
Find the P value round to three decimal places
Solution:-
State the hypotheses. The first step is to state the null hypothesis and an alternative hypothesis.
Null hypothesis: P1> P2
Alternative hypothesis: P1 < P2
Note that these hypotheses constitute a one-tailed test.
Formulate an analysis plan. For this analysis, the significance level is 0.01. The test method is a two-proportion z-test.
Analyze sample data. Using sample data, we calculate the pooled sample proportion (p) and the standard error (SE). Using those measures, we compute the z-score test statistic (z).
p = (p1 * n1 + p2 * n2) / (n1 + n2)
p = 0.00027
SE = sqrt{ p * ( 1 - p ) * [ (1/n1) + (1/n2)
] }
SE = 0.00005195
z = (p1 - p2) / SE
z = - 1.15
where p1 is the sample proportion in sample 1, where p2 is the sample proportion in sample 2, n1 is the size of sample 1, and n2 is the size of sample 2.
Since we have a one-tailed test, the P-value is the probability that the z-score is less than - 1.15.
Thus, the P-value = 0.125.
Interpret results. Since the P-value (0.125) is greater than the significance level (0.01), we cannot reject the null hypothesis.
From the above test we do not have sufficient evidence in the favor of the claim that vaccine is effective.