Independent random samples of 42 and 36 observations are drawn from two quantitative populations, 1 and 2, respectively. The sample data summary is shown here.
Sample 1 | Sample 2 | |
---|---|---|
Sample Size | 42 | 36 |
Sample Mean | 1.34 | 1.29 |
Sample Variance | 0.0510 | 0.0560 |
Do the data present sufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2?
Perform the hypothesis test for H0: (μ1 − μ2) = 0 versus Ha: (μ1 − μ2) > 0, using the .10 level of significance.
(a)
What is the value of the test statistic? (Round your answer to two decimal places.)
z =
(b)
What conclusion can you make?
H0 is not rejected. There is insufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2.H0 is rejected. There is insufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2. H0 is not rejected. There is sufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2.H0 is rejected. There is sufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2.
The statistical software output for this problem is :
(a)
test statistic = 4.10
(b)
There is sufficient evidence to indicate that the mean for population 1 is larger than the mean for population 2
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