In: Statistics and Probability
Consider the following data drawn independently from normally
distributed populations: (You may find it useful to
reference the appropriate table: z table
or t table)
x−1x−1 = −25.8 | x−2x−2 = −16.2 |
s12 = 8.5 | s22 = 8.8 |
n1 = 26 | n2 = 20 |
a. Construct the 99% confidence interval for
the difference between the population means. Assume the population
variances are unknown but equal. (Round all intermediate
calculations to at least 4 decimal places and final answers to 2
decimal places.)
b. Specify the competing hypotheses in order to
determine whether or not the population means differ.
H0: μ1 − μ2 = 0; HA: μ1 − μ2 ≠ 0
H0: μ1 − μ2 ≥ 0; HA: μ1 − μ2 < 0
H0: μ1 − μ2 ≤ 0; HA: μ1 − μ2 > 0
c. Using the confidence interval from part a, can
you reject the null hypothesis?
Yes, since the confidence interval includes the hypothesized value of 0.
No, since the confidence interval includes the hypothesized value of 0.
Yes, since the confidence interval does not include the hypothesized value of 0.
No, since the confidence interval does not include the hypothesized value of 0.
d. Interpret the results at αα = 0.01.
We conclude that population mean 1 is greater than population mean 2.
We cannot conclude that population mean 1 is greater than population mean 2.
We conclude that the population means differ.
We cannot conclude that the population means differ.
Assume the population variances are unknown but equal,
a)
b) H0: μ1 − μ2 = 0; HA: μ1 − μ2 ≠ 0
c) Yes, since the confidence interval does not include the hypothesized value of 0.
d) We conclude that the population means differ.