Home Chapter 9 Quiz

# Quiz

This activity contains 15 questions.

## The hypothesis in which the population parameter is equal to the claimed value is known as the hypothesis of no difference or more commonly as the:

 null hypothesis. critical hypothesis. alternative hypothesis. average hypothesis.

## Failure to reject the null hypothesis indicates that:

 the null hypothesis is false. the alternative hypothesis is true. there is insufficient evidence to claim the null hypothesis is false. the null hypothesis is true.

## One of the three key points of classical hypothesis testing is the:

 alternative hypothesis always contains an equal sign. alternative hypothesis never contains an equal sign. null hypothesis always refers to a sample statistic. null hypothesis never contains an equal sign.

## The critical region is also known as:

 the null region. the region of nonrejection. the region of rejection. the significant region.

## The level of significance of a statistical test is the:

 probability of committing a Type II error. risk. probability of committing a Type I error. probability of not rejecting the null hypothesis when it is false and should be rejected.

## The Z value can be described as:

 the value computed by dividing the difference between and by the standard error of the mean. a test statistic for the hypothesis for the mean. All of the choices are correct. the number of standard errors is from .

## Select the statement that is true for a two-tailed test at a 0.05 level of significance.

 There is a cumulative area of 0.05 under the distribution curve below the lower critical value and a cumulative area of 0.05 under the distribution curve above the upper critical value. The rejection region is divided into the area under the distribution curve below the lower critical value and above the upper critical value. The region of nonrejection is divided into the area under the distribution curve below the lower critical value and above the upper critical value. All of the choices are correct.

## Consider two independent populations such that there is evidence that the population variances for these populations are unequal. The appropriate test to determine whether there is a significant difference between the means of the two populations is the:

 chi-square test. pooled-variance t test. separate-variance t test. paired t test.

## The __________ test is used to determine the equality of two variances.

 paired t test chi-square test separate-variance t test pooled-variance t test.

## The observed level of significance is often referred to as the:

 p value. F test statistic. t value. Z test statistic.

## Consider two dependent populations. Give the appropriate test for determining whether there is a significant difference between the means of the two populations.

 pooled-variance t test separate-variance t test paired t test chi-square test

## The observed frequency can be described as the:

 frequency one would expect to find in a particular cell if the null hypothesis is true. actual frequency tally in a particular cell of a contingency table. theoretical frequency. All of the choices are correct.

 F Z t