5 applied statistics and probabilities case studies

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Casestudy_datasets.xlsx
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car_engine

Type CH.Area CH.Shape CH.HT CH.Liner Car Monthes_used BTU.In BTU.Out Vent-type
1 28 1 20 2 3 8 7.87 8.25 200-F
2 144 2 26 0 2 75 9.43 9.66 200-F
1 80 3 30 1 2 44 7.16 8.33 200-F
2 100 2 24 0 2 75 8.67 8.82 200-F
3 168 3 35 1 2 30 12.31 12.06 200-F
3 28 1 17 2 3 4 9.84 9.67 200-F
1 64 2 24 1 2 45 16.9 17.51 200-F
1 64 2 18 1 1 16 10.04 10.79 200-F
3 96 3 25 1 5 45 12.62 13.59 200-F
3 108 3 27 1 5 40 7.62 7.99 200-F
1 64 2 16 1 1 22 11.12 12.64 200-F
2 63 3 30 1 2 40 13.43 14.42 200-F
1 42 3 15 1 1 13 9.07 9.25 200-F
1 117 3 25 0 2 99 6.94 7.79 200-F
1 64 2 18 1 1 19 10.28 11.29 200-F
1 28 1 17 2 2 30 9.37 10.26 200-F
2 64 2 28 0 2 60 7.93 9.46 200-F
1 64 2 19 1 2 30 13.96 14.77 200-F
1 28 1 26 2 2 10 6.8 7.21 200-F
1 80 3 27 0 2 60 4 4.29 200-F
1 28 1 14 2 1 24 8.58 9.81 200-F
1 28 1 23 2 2 70 8 8.41 200-F
1 64 2 17 1 1 12 5.98 6.78 200-F
3 30 2 60 15.24 16.3 200-F
1 64 2 27 0 2 40 8.54 9.01 200-F
1 64 2 19 1 1 17 11.09 11.41 200-F
1 50 1 18 1 4 15 11.7 12.37 200-F
1 50 1 18 1 1 18 12.71 13.28 200-F
1 50 1 18 1 1 4 6.78 7.24 200-F
1 28 1 16 2 1 5 9.82 10.55 200-F
1 80 3 26 0 2 75 12.91 13.89 200-F
1 50 1 18 1 1 14 10.35 10.72 200-F
1 28 1 15 2 1 8 9.6 9.22 200-F
1 100 2 31 0 2 99 9.58 10.61 200-F
1 28 1 16 2 1 99 9.83 10.04 200-F
1 50 1 20 1 1 34 9.52 10.2 200-F
1 108 3 25 0 2 80 18.26 20.55 200-F
1 64 2 25 0 2 99 10.64 11.75 200-F
1 36 2 26 0 2 99 6.62 7.08 200-F
1 28 1 16 2 4 6 5.2 5.5 200-F
1 49 2 32 1 2 50 12.28 13.07 149S
1 38 1 16 2 1 10 7.23 7.6 149S
1 28 1 18 2 3 2 2.97 3.2 149S
1 64 2 20 1 2 99 8.81 9.28 149S
1 72 3 31 1 2 15 9.27 9.73 149S
1 70 3 39 1 2 45 11.29 11.73 149S
1 28 1 15 2 1 1 8.29 9.67 149S
1 72 3 32 0 2 30 9.96 10.76 149S
1 96 3 25 0 2 40 10.3 11.05 149S
1 49 2 21 1 2 50 16.06 17.63 149S
1 100 2 23 0 5 60 14.24 15.58 149S
3 49 2 20 1 1 12 11.43 12.53 149S
1 38 1 16 2 1 6 10.28 11.87 149S
1 28 1 17 2 1 9 13.6 14.19 149S
1 38 1 31 1 2 99 5.94 6.84 149S
1 72 3 27 0 2 90 10.36 11.89 149S
1 28 1 14 2 1 3 6.85 7.41 149S
1 84 3 29 1 2 55 6.72 7.42 149S
1 28 1 17 2 1 14 10.21 10.83 149S
1 64 2 16 1 1 12 8.61 9.44 149S
1 64 2 28 0 2 55 11.62 12.94 149S
1 64 2 19 1 1 28 11.21 13.15 149S
1 28 1 17 2 1 12 10.95 11.69 149S
1 64 2 29 0 2 80 7.62 7.73 149S
1 28 1 17 2 1 19 10.4 11.94 149S
1 80 3 20 1 1 32 12.92 13.62 149S
1 80 3 22 0 1 99 15.12 17.07 149S
1 64 2 33 0 2 60 13.47 14.66 149S
2 64 2 30 0 2 65 8.47 9.56 149S
1 50 1 18 1 4 15 11.7 12.37 149S
1 50 1 19 1 2 55 7.73 8.33 149S
1 28 1 15 2 4 7 8.37 8.67 149S
1 50 1 18 1 4 13 7.29 11.27 149S
1 50 1 18 1 1 10 10.49 11.67 149S
1 50 1 15 1 2 6 8.69 9.37 149S
1 50 1 16 1 1 5 8.26 8.93 149S
1 28 1 17 2 1 5 7.69 8.41 149S
1 28 1 15 2 1 8 12.19 12.85 149S
1 28 1 14 2 4 5 5.56 5.27 149S
3 144 2 30 1 1 50 9.76 10.02 149S
1 28 1 17 2 1 10 7.15 7.87 149S
1 49 2 18 2 1 14 12.69 11.82 149S
1 100 2 27 1 1 40 13.38 14.42 149S
1 144 2 22 0 1 70 13.11 13.69 149S
1 144 1 30 0 2 85 10.5 10.77 149S
2 100 2 24 0 2 70 14.35 15.26 149S
2 96 1 17 0 1 40 13.42 14.53 149S
1 100 2 20 1 2 99 6.35 6.84 149S
1 100 2 20 1 1 14 9.83 10.92 149S
1 28 1 28 1 2 55 12.16 13.05 149S

Shoe

weight in lb Mat-A Mat-B PriceIndex Achievement DBP1 DBP2 Growth Treatment EnzymeActivity Therapy Litter Response Impact HelmetType Location
49 13.2 14 0 77 90 62 15.1 1 0.15 1 1 0 47 1 1
51 8.2 8.8 50 88 72 85 13 1 0.26 1 2 0 43 1 1
46 10.9 11.2 56 85 61 78 16.2 3 0.23 1 3 1 46 1 2
50 14.3 14.2 72 74 66 66 14.9 1 0.99 1 4 0 40 1 2
51 10.7 11.8 80 75 81 80 13.2 1 0.55 2 1 1 62 2 1
47 6.6 6.4 80 62 69 91 13.8 3 0.26 2 2 1 68 2 1
44 9.5 9.8 80 80 59 69 13.1 2 -0.22 2 3 1 67 2 2
47 10.8 11.3 99 70 70 77 13 2 0.99 2 4 1 71 2 2
46 8.8 9.3 101 83 84 12.9 2 0.55 3 1 2 41 3 1
13.3 13.6 110 11.9 1 0.66 3 2 3 39 3 1
110 17 3 0.77 3 3 3 42 3 2
110 12.8 2 0.99 3 4 2 46 3 2
120 14.7 3 0
140 12 2 0
144 15 3 0
145 16.5 3 2
150 1
180 1
201 1
210 1
220 2
240 3
290 3
309 0
320 0
325 1
400 0
500 2
507 2
3

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