In this problem, assume that the distribution of differences is
approximately normal. Note: For degrees of freedom
d.f. not in the Student's t table, use
the closest d.f. that is smaller. In
some situations, this choice of d.f. may increase
the P-value by a small amount and therefore produce a
slightly more "conservative" answer.
In the following data pairs, A represents birth rate and
B represents death rate per 1000 resident population. The
data are paired by counties in the Midwest. A random sample of 16
counties gave the following information.
A: | 12.7 | 13.2 | 12.6 | 12.3 | 11.6 | 11.1 | 14.2 | 15.1 |
B: | 9.8 | 14.3 | 10.5 | 14.2 | 13.2 | 12.9 | 10.9 | 10.0 |
A: | 12.5 | 12.3 | 13.1 | 15.8 | 10.3 | 12.7 | 11.1 | 15.7 |
B: | 14.1 | 13.6 | 9.1 | 10.2 | 17.9 | 11.8 | 7.0 | 9.2 |
Do the data indicate a difference (either way) between population average birth rate and death rate in this region? Use α = 0.01. (Let d = A − B.)
(a) What is the level of significance?
(b) What is the value of the sample test statistic? (Round your answer to three decimal places.)
Solution :
A | B | d = A - B |
12.7 | 9.8 | 2.9 |
13.2 | 14.3 | -1.1 |
12.6 | 10.5 | 2.1 |
12.3 | 14.2 | -1.9 |
11.6 | 13.2 | -1.6 |
11.1 | 12.9 | -1.8 |
14.2 | 10.9 | 3.3 |
15.1 | 10 | 5.1 |
12.5 | 14.1 | -1.6 |
12.3 | 13.6 | -1.3 |
13.1 | 9.1 | 4 |
15.8 | 10.2 | 5.6 |
10.3 | 17.9 | -7.6 |
12.7 | 11.8 | 0.9 |
11.1 | 7 | 4.1 |
15.7 | 9.2 | 6.5 |
a)
Level of Significance α = 0.01
b)
Test Statistic :
t = 1.175
P-value = 0.25831
P-value > 0.01
Fail to reject H0 (Null hypothesis)
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