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Is there a relationship between treatment and smoking cessation? A study randomly selects a group of 1,025 smokers who are attempting to quit. One group of 352 is using Chantix, one group of 329 is using Bupropion, and one group of 344 is using a placebo. The success of the treatment is measured on whether or not participants smoked in weeks 9-12 of the treatment (this is a yes or no variable). Treatment Chantix Bupropion Placebo No smoking in weeks 9-12 155 97 61 Smoked in weeks 9-12 197 232 283 Total 352 329 344 A. Complete the table below by lling in the percentages for each of the three treatments Treatment Chantix Bupropion Placebo No smoking in weeks 9-12 Smoked in weeks 9-12 Total 100% 100% 100% B. Write an interpretation statement comparing across the percentages across the row and a summary statement describing the relationship between treatment and smoking cessation. C. Set up the null and alternative hypothesis for a Chi-Square test of the relationship between treatment and smoking cessation D. Use the observed vs expected counts tables below to calculate the Chi-Square value (use the table and formula below). I the rst cell are done for you. Repeat for the next ve and then solve for X2. X2: [11155-103021 107]+ + + + + Treatment (OBSERVED) Chantix Bupropion Placebo Total No smokinginweeks 9-12 155 97 61 313 (31%) Smoked in weeks 9-12 197 232 283 712 (69%) Total 352 329 344 1025 ( 100%) Treatment (EXPECTED) Chantix Bupropion Placebo Total No smoking in weeks 9-12 107 101 105 313 (31%) Smoked in weeks 9-12 245 228 239 712 (69%) Total 352 329 344 1025 (100%) P .7 .II .1. .1. . I. .0. ' .ii -\" .01 .MI .IIOZI .IIII'I .0\": 1.32 1.64 2.0? 2.?l 3.84 5.02 5.41 6.63 7.38 9.14 10.83 12.12 2.77 3.22 3.79 4.6l 5.99 7.35 7.82 9.21 10.60 ll.98 13.82 15.20 4.1] 4.54 S. 32 6.25 7.3l 9. 35 9.84 I [.34 12.84 14.32 I617 17.73 5.39 5.99 6.74 7.73 9.49 [1.14 11.67 13.28 14.156 16.42 15.4? 20.00 __5._6__3_ 7.29_ 5.12 9.24 11.07 _ 12.53 13.39 15.09 15.75 15.39 _ 2o._51______22.11 7.84 8.56 9.45 10.64 12.599 14.45 13.03 16.81 1555 20.25 22.46 24.10 9.04 9.50 10.75 12.02 14.07 1601 16.62 13.40 20.28 22.04 24.32 2602 10.22 11.03 12.05 13.36 15.51 17.53 15.17 20.09 21.95 23.77 1.6.12 27.57 11.39 12.24 13.29 1468 16.9: 19.02 19.68 21.67 23.59 25.46 27.55 29.67 12.55 13.44 14.53 15.99 15.31 20.45 21.16 23.2: 25.19 27.11 29.59 31.42 13.70 14.53 15.77 17.25 19.55 21.92 22.62 24.72 25.76 25.73 31.7.6 33.14 I185 15.3] 16.99 13.55 2|.03 23.34 24.05 26.22 28.30 30.32 32.91 34.32 15.93 16.95 15.20 19.51 22.36 24.74 25.47 27.69 29.52 31.55 34.53 36.40 17.12 15.15 19.41 21.06 23.55 25.12 25.57 29.14 31.32 33.43 36.12 35.11 1025 19.31 20.60 22.31 25.00 27.49 28.26 30.55 32.50 34.95 17.70 39.72 19.37 20.47 21.79 23.54 26.30 25.55 29.53 32.00 34.27 36.46 39.25 41.31 20.49 21.61 22.95 24.77 27.59 30.19 31.00 33.41 35.72 37.95 40.79 42.55 21.60 22.76 24.16 25.99 28.87 31.53 32.35 34.81 37.16 39.42 42.31 44.43 22.72 23.90 25.33 27.20 30.14 32.55 33.69 36.19 3555 40.55 43.52 45.97 155:; 535;: 5001516150201..- . . E. Use the Chi-Square table to nd the critical value when DF= (r-l) " (c-l) and alpha = .05. Compare this to the critical value and determine whether 01' not we can reject the null hypothesis