Chapter 9 Quiz

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

Type I error may have been committed.

The error of rejecting a true null hypothesis is:

a Type I error.

In hypothesis testing, the critical value is:

a number that establishes the boundary of the rejection region.

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

also not be rejected at the 1% level.

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

alternative hypothesis.

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:

between -1.960 and 1.960, exclusively.

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

does not include μ0.

A two-tailed test is a:

hypothesis test in which rejection region is in both tails of the sampling distribution.

An example of statistical inference is:

hypothesis testing.

In tests about a population proportion, p0 represents the:

hypothesized population proportion.

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

if the null hypothesis is true, it will be rejected 5% of the time.

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

less than or equal to the test statistic.

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

level of significance.

The level of significance is the:

maximum allowable probability of Type I error.

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

p-value and critical value.

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

p-value ≤ α

A p-value is the:

probability, when the null hypothesis is true, of obtaining a sample result that is at least as unlikely as what is observed.

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

rejecting a true null hypothesis.

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

should not be rejected.

In hypothesis testing, the alternative hypothesis is:

the hypothesis concluded to be true if the null hypothesis is rejected.

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

the null hypothesis.

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

α

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:

≥ zα