In one study of smokers who tried to quit smoking with nicotine patch therapy, 38 were smoking one year after treatment and 30 were not smoking one year after the treatment. Use a 0.10 significance level to test the claim that among smokers who try to quit with nicotine patch therapy, the majority are smoking one year after the treatment. Do these results suggest that the nicotine patch therapy is not effective? N= 68
find t-statistic and p-value
Answers to questions asked:
t statistic = 0.9703
p - value = 0.1660
EXPLANATION:
H0: Null Hypothesis: P 0.5
HA: Alternative Hypothesis: P > 0.5
n = Sample Size = 68
= Sample Proportion = 38/68 = 0.5588
P = Population Proportion
Q = 1 - P = 0.5
SE =
Test statistic is:
Z = (0.5588 - 0.5)/0.0606 = 0.9703
Table of Area Under Standard Normal Curve gives area = 0.3340
So,
p - value=0.5 - 0.3340 = 0.1660
Since p - value= 0.1660 is greater than = 0.10, the difference is not significant. Fail to reject null hypothesis.
= 0.10
One Tail - Right Side Test
From Table, critical value of Z = 1.2816
Since the calculated value of Z = 0.9703 is critical value of Z = 1.2816, the difference is not significant. Fail to reject null hypothesis.
Conclusion:
The data do not support the claim that among smokers who try to quit with nicotine patch therapy, the majority are smoking one year after the treatment.
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