1. A 90% CI for a proportion is (0.442, 0.542). The 90 percent confidence level means that if the experiment or study were repeated many times and we constructed many 90 percent CIs, we expect 90 percent of the generated 90% CIs would contain the population proportion. *

True

False

2. The test statistic for testing for a difference in two proportions involves an estimate of the common proportion which is formed by pooling together the two sample proportions. *

True

False

3. A null hypothesis is rejected only when the p-value is less than the significance level. *

True

False

4. A study of medical utilization compares mean stay in the hospital for heart transplant operations in 2009 to the mean stay in 1995, for two separate samples of such operations in the two years. In the comparison, since the same variable ("length of stay in the hospital") is measured for each sample, the data should be analyzed using methods for dependent samples (such as the paired-difference t test) rather than independent samples. *

True

False

5. A researcher conducted a hypothesis test to students on average spend more than 1 hour per homework assignment. The alpha selected was 0.05. This means that if on average they do spend exactly 1 hour per assignment, then the erroneous conclusion will be made that students spend on average more than 1 hour per assignment. *

True

False