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The following table lists some nutritional information reported about sandwiches offered by the fast food chain Arby's (1999). Serving sizes are in ounces, fat and

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The following table lists some nutritional information reported about sandwiches offered by the fast food chain Arby's (1999). Serving sizes are in ounces, fat and protein in grams, and regular (R) or Deluxe (D). Sandwich Serving Calories Fat Protei R/D Meat n Arby's Melt with Cheddar 5.2 368 18 18 R Roast beef Arby-Q 6.4 431 18 22 R Roast beef Bac'n Cheddar Deluxe 8.1 539 34 22 D Roast beef Beef'n Cheddar 6.7 487 28 25 R Roast beef Giant Roast Beef 8.1 555 28 35 D Roast beef Junior Roast Beef 4.4 324 14 17 R Roast beef Regular Roast Beef 5.4 388 19 23 R Roast beef Super Roast Beef 8.7 523 27 25 D Roast beef Breaded Chicken Fillet 7.2 536 28 28 R Chicken Chicken Cordon Bleu 8.5 623 33 38 D Chicken Grilled Chicken BBQ 7.1 388 13 23 R Chicken Grilled Chicken Deluxe 8.1 430 20 23 D Chicken Roast Chicken Club 8.5 546 31 31 R Chicken Roast Chicken Sub 7.6 433 22 24 D Chicken Roast Chicken Santa Fe 6.4 436 22 29 D Chicken French Dip 6.8 475 22 30 D Roast beef Hot Ham'n Swiss 9.3 500 23 30 R Ham Italian Sub 10.1 675 36 30 D Ham Philly Beef'n Swiss 10.4 755 47 39 D Roast beef Roast Beef Sub 10.8 700 42 38 R Roast beef Turkey Sub 9.8 550 27 31 R Turkey Roast Beef Deluxe 6.4 296 10 18 D Roast beef Roast Chicken Deluxe 6.8 276 6 20 D Chicken Roast Turkey Deluxe 6.8 260 7 20 D Turkey Ham'n Cheese Melt 4.9 329 13 20 R ham Pick two of the categorical variables from your data set. . Display each with a bar graph and a pie chart. . Create a side-by-side bar graph showing the frequencies for each of your categorical variables. . Create a two way table of your categorical variables. Using a quantitative variable from your data set . Display the data with a histogram. Describe the distribution of the histogram. (Mention shape, center, and spread.) Identify any outliers. Identify them by calculations. (If there are no outliers, specify this.) . Calculate numeric descriptions for your quantitative variable. Find the mean, median, and mode. Compare the mean and the median. (Which is larger?) Find the standard deviation. Create a boxplot after calculating the five number summary for the data set

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