Consider the following competing hypotheses and accompanying
sample data drawn independently from normally distributed
populations. (You may find it useful to reference the
appropriate table: z table or t
table)
H0: μ1 −
μ2 = 0
HA: μ1 −
μ2 ≠ 0
x−1x−1 = 57 | x−2x−2 = 63 |
σ1 = 11.5 | σ2 = 15.2 |
n1 = 20 | n2 = 20 |
a-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 2 decimal places.)
a-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
a-3. Do you reject the null hypothesis at the 5%
significance level?
Yes, since the p-value is less than α.
No, since the p-value is less than α.
Yes, since the p-value is more than α.
No, since the p-value is more than α.
a-4. Interpret the results at αα = 0.05.
We conclude that the population means differ.
We cannot conclude that the population means differ.
We conclude that population mean 2 is greater than population mean 1.
We cannot conclude that population mean 2 is greater than population mean 1.
a-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 2
decimal places.)
-1.41
a-2. Find the p-value.
p-value ≥ 0.10
a-3. Do you reject the null hypothesis at the 5% significance
level?
No, since the p-value is more than α.
a-4. Interpret the results at αα = 0.05.
We cannot conclude that the population means differ.
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