Answer:
(a) The proportion of people using nicotine gum that stopped smoking is 0.12 and the proportion of people using the placebo that stopped smoking is 0.05.
(b) The value of z test statistics is 7.242.
Step-by-step explanation:
We are given that a study used nicotine gum to help people quit smoking. The study was placebo-controlled, randomized, and double-blind.
The results showed that 197 out of 1647 people using the nicotine gum succeeded, and 85 out of 1620 using the placebo succeeded.
Let [tex]p_1[/tex] = population proportion of people who quit smoking using nicotine gum.
[tex]p_2[/tex] = population proportion of people who quit smoking using placebo.
SO, Null Hypothesis, [tex]H_0[/tex] : [tex]p_1=p_2[/tex]
Alternate Hypothesis, [tex]H_A[/tex] : [tex]p_1\neq p_2[/tex]
The test statistics that would be used here Two-sample z test for proportions;
T.S. = [tex]\frac{(\hat p_1-\hat p_2)-(p_1-p_2)}{\sqrt{\frac{\hat p_1(1-\hat p_1)}{n_1}+\frac{\hat p_2(1-\hat p_2)}{n_2} } }[/tex] ~ N(0,1)
where, [tex]\hat p_1[/tex] = sample proportion of people using nicotine gum that stopped smoking = [tex]\frac{197}{1647}[/tex] = 0.12
[tex]\hat p_2[/tex] = sample proportion of people using placebo that stopped smoking = [tex]\frac{85}{1620}[/tex] = 0.05
[tex]n_1[/tex] = sample of people using the nicotine gum = 1647
[tex]n_2[/tex] = sample of people using the placebo = 1620
So, the test statistics = [tex]\frac{(0.12-0.05)-(0)}{\sqrt{\frac{0.12(1-0.12)}{1647}+\frac{0.05(1-0.05)}{1620} } }[/tex]
= 7.242
The value of z test statistics is 7.242.