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shoes SP_pre SP_post meals_cooked meals_takeout exer_hrs people_hh music instruments 3 credits GPA GPA_exp study_hrs study_hrs_211 sleep_hrs No NA 8 4 11 2 3.7 5 4

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shoes SP_pre SP_post meals_cooked meals_takeout exer_hrs people_hh music instruments 3 credits GPA GPA_exp study_hrs study_hrs_211 sleep_hrs No NA 8 4 11 2 3.7 5 4 No NA 7 21 20 3 5 15 2.96 3 2 3 Yes piano 1 ONO 15 8 2 0 15 4 49 NA 16 N No 40 CO 21 13 7 7 5 3.43 3.8 40 6 4 No NA 35 13 9 20 0 0 15 3.36 3 Piano, french horn, and classical vocals 6 1 2 Yes 30 12 7 20 6 5 12 3.04 2.9 4 NO NA 10 7 14 6 4 6 5 3.5 3.5 10 3 No NA W Co 7 4 15 1 2 15 3.3 3.5 No none 10 4 3 3.53 3.8 10 10 W N 20 Yes I sing. 12 6 11 2.61 3 30 10 5 No NA 3 V 18 10 4 4 15 3.8 21 W Yes Piano + drums V 25 10 8.5 16 5 3 3 15 3.9 14 O 16 Yes violin W 35 15 6 15 3.94 4 NO NA N W A N N W 4 15 3.3 3.4 20 No NA CO N O 2 3.5 35 10 19 0 1 15 No NA 2 O 0 15 3.9 3.8 25 8 un W NO NA A 6 N 15 3.9 3.8 25 9 NA 7.5 12 15 5 8 3.3 4 Yes Piano on W 28 20 5 8 WA 15 3.93 4 20 12 No NA O 15 3 6 6 5 3.8 4 15 No NA A 10 W A 16 5 8 15 3.51 3.8 25 10 Yes Piano N 8 10 10 10 5 3.8 4 3 Yes Guzheng 1 W N 3 30 8 10 7 2 7 20 3.3 2 Yes piano, guitar, violin 3.7 4 15 3 3.2 7 O W 6 Yes Piano U O O W A W A 6 10 15 2 3 20 3.5 3.7 30 6 Yes Piano 10 2 O 3 20 3.5 3.7 30 6 Yes Drums 10 35 20 unT 14 7 10 15 3.19 3.5 4 No NA Co 5 10 6 3 3 15 3 3.6 15 Yes piano 3 W 40 12 NO 12 15 3.62 4 CO CO No NA N 3 10 3.8 15 10 3 3 14 No NA 12 63 28 7 3.15 3.6Note: Many of these questions ask you to work with a categorical variable from the Math 211 Student Survey data set. Most variables in that data set are presented as numerical, but remember that you can re-express any numerical variable as a categorical variable by splitting the numerical scale. For example, you could take average hours of sleep, a numerical variable, and create a new categorical variable that answers the question \"do you average 8 or more hours of sleep ?" ('yes'for those students at 8+ hours and 'no' for those

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