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It is known that the variance of a population equals 484. A random sample of 81 observations is going to be taken from the population.
(a) With a .80 probability, what is the sampling error?
(b) With a .80 probability, how large of a sample would have to be taken to provide a sampling error of 3 or less?
Women in the U.S. Air Force have hands that are 6.9 inches on the average (from the tip of the middle finger to the heel of the hand). The standard deviation is 0.34 inches. Assume that hand length is normally distributed.
Use an alpha level of .01 and test the hypothesis that the two methods are producing the same mean.
Department store accepts three types of credit cards, MasterCard, Visa, and their own store card. Charges are normally distributed. A random sample of 18 credit card purchases included 6 MasterCard
A random check of 81 records of inmates from all federal prisons found the confidence interval for mean prison terms per prisoner to be 2.113 years to 2.287 years.
A firm has tendered for two independent contracts. It estimates that it has probability 0.4 of obtaining contract A, and probability 0.1 of obtaining contract B. Find the probability that the firm:
What is the maximum error of estimate for p ?
Obtain a test statistic and p -value assuming equal variances. Interpret these results.
Jack is doing a project in educational psychology. Before the experiment, he rank-orderes all his participants according to achievement test scores.
In order to estimate the proportion of families who prefer female baby-sitters to male baby-sitters with an error of at most 8 percentage points and with at least 95 percent confidence, how large a sample should be taken?
It is suspected that the mean turnover has changed and is not 6.0. Use the .05 significance level. Give the formula for the test statistic.
Based on the numbers presented, what do you think of the discrimination claim?
Find historical information on the statisticians who developed statistical tests, such as the normal distribution, Student t distribution, Chi-Square distribution
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