Testing Means and Proportions Quiz

What is the null hypothesis in a significance test for the mean?

• The sample mean is greater than the population mean.

• The sample mean is equal to the population mean.

• The sample mean is less than the population mean.

• The sample mean is not equal to the population mean.

Which of the following is a common significance level used in hypothesis testing?

• 0.01

• 0.05

• 0.10

• All of the above

Tags

CCSS.HSN.Q.A.1

In a significance test for proportions, what does the test statistic measure?

• The difference between two sample proportions.

• The difference between the sample proportion and the hypothesized population proportion.

• The sum of the sample proportions.

• The product of the sample proportions.

What is the formula for the test statistic in a significance test for a single mean when the population standard deviation is unknown?

What is the critical value for a two-tailed test at a 0.05 significance level when the population standard deviation is unknown?

• 1.645

• 1.96

• It depends on the degrees of freedom.

• 2.58

Tags

CCSS.HSS.ID.A.4

In hypothesis testing, what does a p-value represent?

• The probability of the null hypothesis being true.

• The probability of observing the test statistic or something more extreme, assuming the null hypothesis is true.

• The probability of the alternative hypothesis being true.

• The probability of making a Type I error.

What is a Type I error in hypothesis testing?

• Failing to reject a true null hypothesis.

• Rejecting a true null hypothesis.

• Failing to reject a false null hypothesis.

• Rejecting a false null hypothesis.

What is a Type II error in hypothesis testing?

• Failing to reject a true null hypothesis.

• Rejecting a true null hypothesis.

• Failing to reject a false null hypothesis.

• Rejecting a false null hypothesis.

Which of the following is the correct formula for the test statistic in a significance test for a single proportion?

What does the power of a test refer to in hypothesis testing?

• The probability of rejecting a true null hypothesis.

• The probability of rejecting a false null hypothesis.

• The probability of failing to reject a true null hypothesis.

• The probability of failing to reject a false null hypothesis.

Tags

CCSS.HSS.MD.A.2