Consider the following sample data drawn independently from normally distributed populations with unknown but equal population variances. (You may find it useful to reference the appropriate table: z table or t table)
Sample 1 | Sample 2 | ||||
12.1 | 8.9 | ||||
9.5 | 10.9 | ||||
7.3 | 11.2 | ||||
10.2 | 10.6 | ||||
8.9 | 9.8 | ||||
9.8 | 9.8 | ||||
7.2 | 11.2 | ||||
10.2 | 12.1 | ||||
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a. Construct the relevant hypotheses to test if
the mean of the second population is greater than the mean of the
first population.
H0: μ1 − μ2 = 0; HA: μ1 − μ2 ≠ 0
H0: μ1 − μ2 ≥ 0; HA: μ1 − μ2 < 0
H0: μ1 − μ2 ≤ 0; HA: μ1 − μ2 > 0
b-1. Calculate the value of the test statistic.
(Negative values should be indicated by a
minus sign. Round all intermediate calculations to at least 4
decimal places and final answer to 3 decimal
places.)
b-2. Find the p-value.
p-value < 0.01
0.01 ≤ p-value < 0.025
0.025 ≤ p-value < 0.05
0.05 ≤ p-value < 0.10
p-value ≥ 0.10
b-3. Do you reject the null hypothesis at the 1%
level?
Yes, since the value of the p-value is greater than the significance level.
No, since the value of the p-value is greater than the significance level.
Yes, since the value of the p-value is less than the significance level.
No, since the value of the p-value is less than the significance level.
c. Do you reject the null hypothesis at the 10%
level?
Yes, since the value of the p-value is greater than the significance level.
No, since the value of the p-value is greater than the significance level.
Yes, since the value of the p-value is less than the significance level.
No, since the value of the p-value is less than the significance level.
The statistical software output for this problem is :
H0: μ1 − μ2 ≥ 0; HA: μ1 − μ2 < 0
Test statistics = -1.724
0.05 ≤ p-value < 0.10
(b-3)
No, since the value of the p-value is greater than the significance level.
(c)
Yes, since the value of the p-value is less than the significance level.
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