Data sets A and B are dependent. Test the claim that the paired sample data is from a population with a mean difference of 0. Use alpha of 0.01.
A | 3.2 | 4.2 | 6.1 | 3.1 | 3.2 |
B | 5.6 | 4.5 | 4.4 | 4.3 | 5.7 |
Here, we have to use paired t test.
The null and alternative hypotheses for this test are given as below:
Null hypothesis: H0: the paired sample data is from a population with a mean difference of 0.
Alternative hypothesis: Ha: the paired sample data is from a population with a mean difference not equal to 0.
H0: µd = 0 versus Ha: µd ≠ 0
This is a two tailed test.
Test statistic for paired t test is given as below:
t = (Dbar - µd)/[Sd/sqrt(n)]
From given data, we have
Dbar = -0.94
Sd = 1.7329
n = 5
df = n – 1 = 4
α = 0.01
t = (Dbar - µd)/[Sd/sqrt(n)]
t = (-0.94 – 0)/[ 1.7329/sqrt(5)]
t = -1.2129
The p-value by using t-table is given as below:
P-value = 0.2919
P-value > α = 0.01
So, we do not reject the null hypothesis
There is sufficient evidence to conclude that the paired sample data is from a population with a mean difference of 0.
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