Part 1: What happens when we don't have a normal distribution? Can we still construct a confidence interval? Go to www.lock5stat.comlstatkeyl. Click on CI for Single Mean, Median, St. Dev. Get the Atlanta Commute (Time) data from the drop down menu of datasets. [The American Housing Survey (AHS) regularly collects data from samples of people in different metropolitan areas. Asurvey conducted in Atlanta asked about the distance (in miles) and time (in minutes) for daily commutes. Values for 500 Atlanta commuters are available in StatKey.] (Lock. et al., 2012). A. Before generating any samples, answer the following: 1. What is the mean commute time for the original sample? 2. What is the standard deviation for the original sample? 3. At approximately what value do you expect a bootstrap distribution for the mean Atlanta commute times to be centered? B. Generate a bootstrap distribution (with 1000 samples) for the mean commute times. 1. What are the mean and standard deviation of the sample means (listed as standard error) in your bootstrap distribution? Mean: Standard Deviation: 2. Use your bootstrap distribution to construct a 90% confidence interval for the mean time of all Atlanta commuters. Do both methods; the standard error method and the percentile method and compare your results