The accompanying table summarizes successes and failures when subjects used different methods when trying to stop smoking. The determination of smoking or not smoking was made five months after the treatment was begun. If we test the claim that success is independent of the method used, the technology provides a P-value of 0.005 (rounded). What does the P-value tell us about that claim?
Nicotine Gum |
Nicotine Patch |
Nicotine Inhaler |
||
---|---|---|---|---|
Smoking |
187 |
266 |
87 |
|
Not Smoking |
58 |
64 |
44 |
Ans:
Chi square test for independence:
Observed(fo) | ||||
Nicotine Gum |
Nicotine Patch | Nicotine inhaler | Total | |
Smoking | 187 | 266 | 87 | 540 |
Not Smoking | 58 | 64 | 44 | 166 |
Total | 245 | 330 | 131 | 706 |
Expected(fe) | ||||
Nicotine Gum |
Nicotine Patch | Nicotine inhaler | Total | |
Smoking | 187.39 | 252.41 | 100.20 | 540 |
Not Smoking | 57.61 | 77.59 | 30.80 | 166 |
Total | 245 | 330 | 131 | 706 |
Chi square=(fo-fe)^2/fe | ||||
Nicotine Gum |
Nicotine Patch | Nicotine inhaler | Total | |
Smoking | 0.00 | 0.73 | 1.74 | 2.47 |
Not Smoking | 0.00 | 2.38 | 5.66 | 8.04 |
Total | 0.00 | 3.11 | 7.39 | 10.51 |
Chi square test statistic=10.51
df=(2-1)*(3-1)=2
p-value=CHIDIST(10.51,2)=0.0052
Reject the null hypothesis(as small p-value provides strong evidence against null hypothesis)
There is sufficient evidence to conclude that success is not independent of the method used.
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