In: Statistics and Probability
In order to compare the means of two populations, independent random samples of 234 observations are selected from each population, with the following results:
Sample 1 | Sample 2 |
x¯¯¯1=0x¯1=0 | x¯¯¯2=4x¯2=4 |
s1=145s1=145 | s2=100s2=100 |
(a) Use a 99 % confidence interval to estimate the difference between the population means (μ1−μ2).
_______ ≤ (μ1−μ2) ≤ ________
(b) Test the null hypothesis: H0:(μ1−μ2)=0 versus the alternative hypothesis: Ha:(μ1−μ2)≠0.
Using α=0.01α=0.01, give the following:
the test statistic z=
The final conclusion is
A. There is not sufficient evidence to reject the null hypothesis that (μ1−μ2)=0.
B. We can reject the null hypothesis that (μ1−μ2)=0 and conclude that (μ1−μ2)≠0.
(c) Test the null hypothesis: H0:(μ1−μ2)=22 versus the alternative hypothesis: Ha:(μ1−μ2)≠22. Using α=0.01, give the following:
the test statistic z=
The final conclusion is
A. There is not sufficient evidence to reject the null hypothesis that (μ1−μ2)=22(μ1−μ2)=22.
B. We can reject the null hypothesis that (μ1−μ2)=22(μ1−μ2)=22 and conclude that (μ1−μ2)≠22(μ1−μ2)≠22.
(c)
Sample N Mean StDev SE Mean
1 234 0 145 9.5
2 234 4 100 6.5
Difference = μ (1) - μ (2)
Estimate for difference: -4.0
95% CI for difference: (-26.6, 18.6)
z-Test of difference = 22 (vs ≠): z-Value = -2.26 P-Value = 0.024 DF = 413
z value=-2.26
conclusion:
B. We can reject the null hypothesis that (μ1−μ2)=22(μ1−μ2)=22 and conclude that (μ1−μ2)≠22(μ1−μ2)≠22.