Project Part B:
Hypothesis Testing and Confidence Intervals
Your manager has speculated the following:
the average (mean) annual income was less than $50,000,
the true population proportion of customers who live in an urban area exceeds
40%,
the average (mean) number of years lived in the current home is less than 13
years,
the average (mean) credit balance for suburban customers is more than
$4300.
Using the sample data, perform the hypothesis test for each of the above
situations in order to see if there is evidence to support your manager’s
belief in each case a.-d. with ? = .05, and explain your conclusion in simple
terms. Also be sure to compute the p-value and interpret.
Follow this up with computing 95% confidence intervals for each of the
variables described in a.-d., and again interpreting these intervals.
