In: Statistics and Probability
You wish to test the following claim (H1H1) at a significance
level of α=0.002α=0.002.
Ho:μ1=μ2Ho:μ1=μ2
H1:μ1≠μ2H1:μ1≠μ2
You believe both populations are normally distributed, but you do
not know the standard deviations for either. However, you also have
no reason to believe the variances of the two populations are not
equal. You obtain a sample of size n1=19n1=19 with a mean of
M1=77.6M1=77.6 and a standard deviation of SD1=20.7SD1=20.7 from
the first population. You obtain a sample of size n2=20n2=20 with a
mean of M2=72.1M2=72.1 and a standard deviation of SD2=8.7SD2=8.7
from the second population.
2a. What is the critical value for this test? (Report answer
accurate to three decimal places.)
critical value =
2b. What is the test statistic for this sample? (Report answer
accurate to three decimal places.)
test statistic =
2c. The test statistic is...
A. in the critical region
B. not in the critical region
2d. This test statistic leads to a decision to...
A. reject the null
B. accept the null
C. fail to reject the null
2e. As such, the final conclusion is that...
A. There is sufficient evidence to warrant rejection of the claim that the first population mean is not equal to the second population mean.
B. There is not sufficient evidence to warrant rejection of the claim that the first population mean is not equal to the second population mean.
C. The sample data support the claim that the first population mean is not equal to the second population mean.
D. There is not sufficient sample evidence to support the claim that the first population mean is not equal to the second population mean.
Solution
2a.
What is the critical value for this test? (Report answer accurate
to three decimal places.)
critical value =3.468
2b. What is the test statistic for this sample? (Report answer
accurate to three decimal places.)
test statistic
2c. The test statistic is...
B. not in the critical region
2d. This test statistic leads to a decision to...
C. fail to reject the null
2e. As such, the final conclusion is that..
D. There is not sufficient sample evidence to support the claim that the first population mean is not equal to the second population mean.