10.4  Test Yourself!
10.4  Test Yourself!Think about it!
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 pvalue 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 pvalue of 0.999 says that the null hypothesis is a reasonable explanation of the data.

Correct. Large pvalues indicate that the null hypothesis is a plausible explanation of the data.

The answer is True  Large pvalues indicate that the null hypothesis is a plausible explanation of the data.
Question 3
A test of hypothesis was conducted that resulted in a pvalue of 0.02. This test is:

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

Correct.The pvalue is less than 0.05 but greater than 0.01.

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

The answer is: Significant at the 5% level but not the 1% level.The pvalue 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.