Question: Pick one Excel data set (A through F) and investigate whether the data could have come from a normal population using = .01. Use

Pick one Excel data set (A through F) and investigate whether the data could have come from a normal population using α = .01. Use any test you wish, including a histogram, or MegaStat's Descriptive Statistics > Normal curve goodness of fit test, or MINITAB's Stats > Basic Statistics > Normality Test to obtain a probability plot with the Anderson-Darling statistic. Interpret the p-value from your tests. For larger data sets, only the rst three and last three observations are shown.
Pick one Excel data set (A through F) and investigate
Pick one Excel data set (A through F) and investigate
Pick one Excel data set (A through F) and investigate
Pick one Excel data set (A through F) and investigate
Pick one Excel data set (A through F) and investigate
Pick one Excel data set (A through F) and investigate

DATA SET A Kentucky Derby Winning Time (Seconds), 1950-2011 (n 62) s Derby Year Derby Winner Time 1950 1951 1952 Middleground Count Turf Hall Gail 121.6 122.6 121.6 2009 2010 2011 Mine That Bird Super Saver Animal Kingdom 122.7 124.5 122.0 DATA SET B 61 National League Runs Scored Leader, 1900-2010 (n = 111) Runs Runs Year Player 1900 1901 1902 Roy Thomas, Phil Jesse Burkett, StL Honus Wagner, Pitt 131 139 105 2008 2009 2010 Hanley Ramirez, FLA Albert Pujols, STL Albert Pujols, STL 125 124 115 DATA SET C Weight (in gram s) of Pieces of Halloween Candy (n 78) 0.7097 158395 1 1.2993 1,410713205 1.6353 18851 1.6101 1.6506 1.3212 1.3489 DATA SETD Price/Earnings Ratios for Specialty Retailers (n 58) PERatios Company PE Ratio Abercrombie and Fitch Advance AutoParts American Eagle Outfitters 19 16 30 United Auto Group Williams-Sonoma Zale 12 28 15 DATA SET E urseSA U.S. Presidents' Ages at Inauguration (n = 43) Presidents President Age Washington J. Adams lefferson 57 61 57 Clinton G. W Bush Obama 46 54 47 DATA SET F Weights of 31 Randomly Chosen Circulated Nickels (n31) Nickels 5.043 490 4.967 5.043 4956 4.999 4.917 4.927 4.893 5.003 495 5.040 5.04 5.004 5.014 5.035 4.883 5.022 4.9329 5.032 4948 5.001 4983 4.912 4.796 4.970 4.956 5.036 5.0454.801

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Results may vary depending on which software package was used how the categories were defined and which options were selected eg equal expected frequencies versus equal class widths For the chisquare ... View full answer

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