ZIP codes, revisited The intern from the marketingdepartment at the Holes R Us online piercing salon(Chapter 3, Exercise 53) has recently finished a studyof the company’s 500 customers. He wanted to knowwhether people’s ZIP codes vary by the last productthey bought. They have 16 different products, and theANOVA table of ZIP code by product showed thefollowing:Source DFSum ofSquaresMeanSquare F-Ratio P-ValueProduct 15 3.836e10 2.55734e9 4.9422 60.0001Error 475 2.45787e11 517445573Total 490 2.84147e11(Nine customers were not included because of missingZIP code or product information.)What criticisms of the analysis might you make? Whatalternative analysis might you suggest?

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For the project, you will have to: Collect and organize a sample of 30 items of data from a source you find relevant. Some examples: Sports (top HR hitters, rushing leaders, point scorers, etc.) Weather (average daily temperature for a month, max hurricane wind speed, etc.) Business (top-grossing movies, highest-paid athletes, record sales, etc.) Demographics (age, height, weight, etc.) Find the mean, median, mode, and mid-range for your date. Find the variance, standard deviation, and range for your data. Find the five-number summary and determine (mathematically) if there are any outliers. Construct a 95% confidence interval for the mean of your data.       You are allowed to use the calculator for the calculations but you must provide me with the 30 data values you obtain in a neat, organized manner, preferably in a spreadsheet. Also, be sure to provide the source of your data. When you provide the answers to the questions above please use the correct symbols and notation.…

Task-5. How percentiles and quartiles are calculated in the grouped data sets. Write formulas with proper explanation of its parameters, and what are the 2 methods of identifying outliers in data sets using percentiles and quartiles.