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Bank of America's Consumer Spending 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, the sample mean difference was d=$850, and the sample standard deviation was sd=$1123. a. 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. H0:Ha: b. Use =.05 level of significance. Can you conclude that the population means differ? What is the p-value? (to 6 decimals) c. Which category, groceries or dining out, has a higher population mean annual credit card charge? What is the point estimate of the difference between the population means? Round to the nearest whole number. What is the 95% confidence interval estimate of the difference between the population means? Round to the nearest whole number. (n1,n2)= Consider the hypothesis test below. H0:p1p20Ha:p1p2>0 The following results are for independent samples taken from the two populations. Use pooled estimator of p. a. What is the value of the test statistic (to 2 decimals)? b. What is the p-value (to 4 decimals)? c. With =.05, what is your hypothesis testing conclusion