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# Baseball Fans- from the attached spreadsheet, choose a player and download his batting data from www.fangraphs.com for the past five years. Organize the data into classes. Use bin size of 5 for all categories except ISO, BABIP, AVG, OBP, SLG, WOBA. (use bin size of 0.10) For BsR and WAR use bin size of 1. Use the data to calculate empirical probabilities for that player in each class. Use the probabilities to find the expected AVG for the 2014 season. Calculate the percentage of other American League players which the player performs better than using the standard normal curve. (assume the 213 data is approximately normally distributed.)

Baseball Fans- from the attached spreadsheet, choose a player and download his batting data from www.fangraphs.com for the past five years. Organize the data into classes. Use bin size of 5 for all categories except ISO, BABIP, AVG, OBP, SLG, WOBA. (use bin size of 0.10) For BsR and WAR use bin size of 1. Use the data to calculate empirical probabilities for that player in each class. Use the probabilities to find the expected AVG for the 2014 season. Calculate the percentage of other American League players which the player performs better than using the standard normal curve. (assume the 213 data is approximately normally distributed.)

Interested in a PLAGIARISM-FREE paper based on these particular instructions?...with 100% confidentiality?