Consider the following hypothesis test.
H0: μd ≤ 0
Ha: μd > 0
(a)
The following data are from matched samples taken from two populations. Compute the difference value for each element. (Use Population 1 − Population 2.)
Element | Population | Difference | |
---|---|---|---|
1 | 2 | ||
1 | 21 | 21 | |
2 | 28 | 28 | |
3 | 18 | 17 | |
4 | 20 | 18 | |
5 | 26 | 24 |
(b)
Compute
d.
(c)
Compute the standard deviation
sd.
(d)
Conduct a hypothesis test using
α = 0.05.
Calculate the test statistic. (Round your answer to three decimal places.)
Calculate the p-value. (Round your answer to four decimal places.)
p-value =
What is your conclusion?
Do not Reject H0. There is sufficient evidence to conclude that
μd > 0.
Do not reject H0. There is insufficient evidence to conclude that
μd > 0.
Reject H0. There is insufficient evidence to conclude that
μd > 0.
Reject H0. There is sufficient evidence to conclude that
μd > 0.
Here, we have to use paired t test.
The null and alternative hypotheses for this test are given as below:
H0: µd = 0 versus Ha: µd > 0
This is a right tailed test.
Part a
Pop1 |
Pop2 |
Difference |
21 |
21 |
0 |
28 |
28 |
0 |
18 |
17 |
1 |
20 |
18 |
2 |
26 |
24 |
2 |
From given data, we have
Part b
Dbar = 1
Part c
Sd = 1
n = 5
df = n – 1 = 4
α = 0.05
Part d
Test statistic for paired t test is given as below:
t = (Dbar - µd)/[Sd/sqrt(n)]
t = (1 - 0)/[1/sqrt(5)]
t = 2.2361
The p-value by using t-table is given as below:
P-value = 0.0445
P-value < α =0.05
So, we reject the null hypothesis
Reject H0. There is sufficient evidence to conclude that μd > 0.
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