The population proportion is 30. What is the probability that a sample proportion will be within of the population proportion for each of the following sample sizes?
a. n=100
b. n=200
c. n=500
d. n=1000
e. What is the advantage of a larger sample size?
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The population proportion is . What is the probability that a sample proportion will be within of the population proportion for each of the sample sizes ?
Assume that the popultaion proportion is .55. Compute the standard error of the proportion, , for sample sizes of 100, 200, 500, and 1000. What can you say about the size of the standard error of the proportion as as the sample size is increased?
6. As the test statistic becomes larger, the p-value
(a) gets smaller
(b) becomes larger
(c) stays the same, since the sample size has not been changed
(d) becomes negative.
7. To describe the sampling distribution of the sample proportion, we use
(a) The sample proportion
(b) The population proportion
(c) The population mean
(d) The population mean
8. When small samples are used to estimate a population mean, in cases where the population standard deviation is unknown and the original distribution is normal:
(a) There always will be a large amount of sampling error.
(b) the t-distribution must be used to obtain the critical value.
(c) the resulting margin of error for a confidence interval estimate will tend to be fairly small.
(d) the z distribution must be used to obtain the critical value.
