The power of a two-sample t lest: (a) increases if the sample sizes are increase

Question

The power of a two-sample t lest: (a) increases if the sample sizes are increased; (b) depends on the difference between the population means which we wish to detect; (c) depends on the difference between the sample means; (d) is the probability that the test will detect given population difference; (e) cannot be zero. The sample size required for a study to compare two properties: (a) depends on the magnitude of the effect we wish to detect; (b) depends on the significance level we wish to employ; (c) depends on the power we wish to have; (d) depends on the anticipated values of the properties themselves; (e) should be decided by adding subjects until the difference is significant. The sample size required for a study to estimate a mean: (a) depends on the width of the confidence interval which we want; (b) depends on the variability of the quantity being studied; (c) depends on the power we wish to have; (d) depends on the anticipated value of the standard d

Explanation / Answer

The sample size determines the amount of sampling error inherent in a test result. Other things being equal, effects are harder to detect in smaller samples. Increasing sample size is often the easiest way to boost the statistical power of a test.

98)
(A) Increases if the sample sizes are increased

99)
c) depends on the power we wish to have

100)
c) depends on the power we wish to have

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