Chapter 9 Quiz

If a hypothesis test has a Type I error probability of .05, that means:

For a two-tailed test with a sample size of 40, the null hypothesis will not be rejected at a 5% level of significance if the test statistic is:

An example of statistical inference is:

A two-tailed test is a:

In order to test the hypotheses H0: μ ≤ 100 and Ha: μ > 100 at an α level of significance, the null hypothesis will be rejected if the test statistic z is:

The level of significance is the:

When the p-value is used for hypothesis testing, the null hypothesis is rejected if:

In hypothesis testing, the hypothesis tentatively assumed to be true is:

The level of significance in hypothesis testing is the probability of:

The error of rejecting a true null hypothesis is:

The probability of making a Type I error is denoted by:

In tests about a population proportion, p0 represents the:

If a hypothesis test leads to the rejection of the null hypothesis, a:

In hypothesis testing, the alternative hypothesis is:

If the cost of a Type I error is high, a smaller value should be chosen for the:

A two-tailed test is performed at a 5% level of significance. The p-value is determined to be .09. The null hypothesis:

Two approaches to drawing a conclusion in a hypothesis test are:

In hypothesis testing, the critical value is:

For a two-tailed hypothesis test about a population mean, the null hypothesis can be rejected if the confidence interval:

As a general guideline, the research hypothesis should be stated as the:

A p-value is the:

If a hypothesis is not rejected at a 5% level of significance, it will:

When the rejection region is in the lower tail of the sampling distribution, the p-value is the area under the curve: