A survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, with population 1 population 2, the sample mean difference wasd= $830, and the sample standard deviation wass_d= $1,121.

1. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out.

2. Calculate the test statistic and the p-value.

3. Can you conclude that the population means differ? Use a 0.05 level of significance.

4. What is the point estimate (in dollars) of the difference between the population means?

5. What is the 95% confidence interval estimate (in dollars) of the difference between the population means? (Round your answers to the nearest dollar.) $to $

6. Which category, groceries or dining out, has a higher population mean annual credit card charge?

The 95% confidence interval ( is completely below OR contains OR is completely above zero) This suggests that the category with higher mean annual expenditure is (dining OR out groceries)