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1) Weight Use the dataset M&M_Weights_B. The data represents the weights (in grams of a random sample of 50 M&M plain candies. a) Compute the

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1) Weight Use the dataset "M&M_Weights_B". The data represents the weights (in grams of a random sample of 50 M&M plain candies. a) Compute the following. n Mean S Range Min Q1 Median Q3 Max Mode ample b) What is the variable? c) What type of variable is this? d) Is it discrete or continuous? e) Compute the z-score for an M&M that weighs 1.01 grams. Must show work. Box final. f) Make a frequency histogram of the data. Use 0.75 as your start value, 0.03 as your width. Describe the shape of the distribution. g) For the frequency histogram in f), put the FOURTH bar into a complete sentence h) Make a relative frequency histogram of the data using the same start value and width as in f). Put the FOURTH bar into a complete sentence 2) Fraud Alert Use the data set "Fraud_B". As part of its "Customers First" program, a cell phone company monitors monthly phone usage. The program identifies unusual use, and alerts the customer that their phone may have been used by another person. The data represents the monthly phone use, in minutes, of a customer enrolled in this program for the past 20 months. The phone company decides to use the upper fence as the cutoff point for the number of minutes at which the customer will be contacted. a) What is the cutoff point? Must show work. Box final answer. b) Based on this dataset and cutoff, would this customer have been contacted during the last 20 months

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