Critical Values: z0.005 = 2.575, z0.01 = 2.325, z0.025 = 1.96, z0.05 = 1.645
When d.f.=7: t0.005 = 3.499, t0.01 = 2.998, t0.025 = 2.365, t0.05 = 1.895
When d.f.=69: t0.005 = 2.648, t0.01 = 2.381, t0.025 = 1.994, t0.05 = 1.667
Among 198 smokers who underwent a “sustained care” program, 51 were no longer smoking after 6 months. Among 199 who underwent a “standard care” program, 30 were no longer smoking after 6 months. Use a 0.01 significance level to test the claim that the rate of success for stopping smoking is greater with sustained care.
The hypothesis being tested is:
H0: p1 = p2
Ha: p1 > p2
p1 | p2 | pc | |
0.2576 | 0.1508 | 0.204 | p (as decimal) |
51/198 | 30/199 | 81/397 | p (as fraction) |
51. | 30. | 81. | X |
198 | 199 | 397 | n |
0.1068 | difference | ||
0. | hypothesized difference | ||
0.0405 | std. error | ||
2.64 | z | ||
.0041 | p-value (one-tailed, upper) |
The p-value is 0.0041.
Since the p-value (0.0041) is less than the significance level (0.01), we can reject the null hypothesis.
Therefore, we can conclude that the rate of success for stopping smoking is greater with sustained care.
Get Answers For Free
Most questions answered within 1 hours.