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Select the answer you think is correct - then click the right arrow to proceed to the next question.

Question 1

True or False: If the p-value is small, then the sample statistic is a poor estimate of the population parameter.

The answer is False. It just says that the null hypothesis is a poor explanation of the data.

Correct. It just says that the null hypothesis is a poor explanation of the data.

Question 2

True or False: A p-value of 0.999 says that the null hypothesis is a reasonable explanation of the data.

Correct. Large p-values indicate that the null hypothesis is a plausible explanation of the data.

The answer is True - Large p-values indicate that the null hypothesis is a plausible explanation of the data.

Question 3

A test of hypothesis was conducted that resulted in a p-value of 0.02. This test is:

The answer is: Significant at the 5% level but not the 1% level.The p-value is less than 0.05 but greater than 0.01.

Correct.The p-value is less than 0.05 but greater than 0.01.

The answer is: Significant at the 5% level but not the 1% level.The p-value is less than 0.05 but greater than 0.01.

The answer is: Significant at the 5% level but not the 1% level.The p-value is less than 0.05 but greater than 0.01.

Question 4

If the null hypothesis is true, then:

The answer is: A significance test may still reject the null. For example, if a 5% significance level is used you will reject the null hypothesis 5% of the time even when it is true.

The answer is: A significance test may still reject the null. For example, if a 5% significance level is used you will reject the null hypothesis 5% of the time even when it is true.

The answer is: A significance test may still reject the null. For example, if a 5% significance level is used you will reject the null hypothesis 5% of the time even when it is true.

Correct. For example, if a 5% significance level is used you will reject the null hypothesis 5% of the time even when it is true.

Question 5

The purpose of a test statistic is to:

The answer is: Measure the difference between the data and what is expected under the null hypothesis. A test statistic is a summary of the data used to examine differences between the data and what is expected under the null.

The answer is: Measure the difference between the data and what is expected under the null hypothesis. A test statistic is a summary of the data used to examine differences between the data and what is expected under the null.

Correct. A test statistic is a summary of the data used to examine differences between the data and what is expected under the null.