One Sample Z-Test Quiz

The one-sample Z-test is used to compare the ______ to the ______.

• mean of a sample; mean of a population

• mean of a population; mean of a sample

• mean of a sample; mean of a second sample

• mean of a population; mean of a second population

Calculating the one-sample Z-test serves to give you ______.

• the critical value

• the obtained value

• the level of significance

• power

After the z value is calculated, the ______ is gathered from a table of z scores.

• obtained value

• test value

• calculated value

• critical value

The ______ is used as the denominator in the equation for the z value in a one-sample Z-test.

• standard error of the median

• standard error of the population

• standard error of the mean

• standard error of the sample

How many groups are compared in a one-sample Z-test?

• 2 or more

• 1

• 3

• 4

The ______ is the standard deviation of all possible means selected from the population.

• standard error of the mean

• standard error of the median

• standard error of the population

• standard error of the sample

After conducting a one-sample Z-test, you arrived at a value of 5.7 for the z value. What is your conclusion?

• reject the null hypothesis

• fail to reject the null hypothesis

• the result is too close to call

• one of these

After conducting a one-sample Z-test, you arrived at a value of 0.2 for the z value. What is your conclusion?

• reject the null hypothesis

• fail to reject the null hypothesis

• the result is too close to call

• none of these

After conducting a one-sample Z-test, you arrived at a value of −12.5 for the z value. What is your conclusion?

• reject the null hypothesis

• fail to reject the null hypothesis

• the result is too close to call

• none of these

The numerator of the equation for the z value is ______.

• the population average subtracted from the mean of the sample

• the mean of the sample subtracted from the population average

• the mean of the sample subtracted from the standard error of the mean

• the standard error of the mean added to the mean of the sample