When comparing two sample proportions with a two-sided alternative hypothesis, all other factors being equal, will you get a smaller p-value if the sample proportions are close together or if they are far apart? Explain. Choose the correct answer below.
A. The p-value will be smaller if the sample proportions are far apart because a larger difference results in a larger absolute value of the numerator of the test statistic.
B. The p-value will be smaller if the sample proportions are far apart because a larger difference results in a pooled proportion closer to 0.5, and a pooled proportion close to 0.5 results in a smaller standard error, which is the denominator of the test statistic.
C. The p-value will be smaller if the sample proportions are close together because the difference between them is smaller.
D. The p-value will be smaller if the sample proportions are close together because closer proportions results in a smaller standard error, which is the denominator of the test statistic.
CORRECT ANSWER IS:
A. The p-value will be smaller if the sample proportions are far apart because a larger difference results in a larger absolute value of the numerator of the test statistic.
The z-statistic is computed as follows:
i.e. Z statistic is directly proportional to the difference of the two sample proportions.
This means the more the sample proportions are apart, the higher will be the value of the z statistic and consequently the smaller will be the p-value,
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