According to CreditReport.com, the mean credit score in Georgia for 2011 was 668. Suppose that a hypothesis test is conducted to determine whether the mean credit score in Georgia has decreased since that time. Describe what a Type I error would mean in the context of this problem.

We would like to test whether the population mean is less than 30. Suppose that a hypothesis test is conducted to determine if the mean of the population has decreased. Describe what a Type II error would mean for this example.

A type I error means that:1 point The null hypothesis is true, and you do not reject the null hypothesis. The null hypothesis is true, and you reject the null hypothesis. The null hypothesis is false, and you reject the null hypothesis. The null hypothesis is false and cannot reject the null hypothesis.

The mean credit card debt among households in one state is $8400. A hypothesis test is to be performed to decide whether the mean credit card debt for households in the formerly affluent town of Rich-No-More differs from the mean credit card debt for the state.  Provide the null and alternative hypotheses for this test.

If a hypothesis test leads to the rejection of the null hypothesis, a Type II error must have been committed a Type II error may have been committed a Type I error must have been committed a Type I error may have been committed

Which one of the following statements about the Type I error of hypothesis testing is wrong? a. It is closely related to the significance level of the test. b. It means that we may fail to reject the null hypothesis H0 when H1 is true. c. It means that we may reject the null hypothesis H0 when H0 is actually true. d. Researchers can control the probability of Type I error.