In: Statistics and Probability
HW 30 #3 Random samples of resting heart rates are taken from two groups. Population 1 exercises regularly, and Population 2 does not. The data from these two samples is given below: Population 1: 71, 63, 65, 70, 71, 67, 70
Population 2: 73, 71, 78, 73, 73, 77, 70, 69
Is there evidence, at an α=0.06 α = 0.06 level of significance, to conclude that there those who exercise regularly have lower resting heart rates? Carry out an appropriate hypothesis test, filling in the information requested.
A. The value of the standardized test statistic:
Note: For the next part, your answer should use interval notation. An answer of the form (−∞,a) ( − ∞ , a ) is expressed (-infty, a), an answer of the form (b,∞) ( b , ∞ ) is expressed (b, infty), and an answer of the form (−∞,a)∪(b,∞) ( − ∞ , a ) ∪ ( b , ∞ ) is expressed (-infty, a)U(b, infty).
B. The rejection region for the standardized test statistic:
C. The p-value is
From the given data: The following have been calculated
Population 1 | Population 2 | |
Total | 477 | 584 |
n | 7 | 8 |
Mean | 68.14 | 73 |
SD | 3.185 | 3.162 |
Since s1/s2 = 3.185 / 3.162 = 1.007 (it lies between 0.5 and 2) we used the pooled standard deviation
The degrees of freedom using pooled variance = n1 + n2 – 2 = 7 + 8 - 2 = 13
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The Hypothesis:
H0:
Ha:
This is a Left tailed test.
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The Test Statistic:
t observed = -2.96
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The t critical value at = 0.06 is -1.664
Therefore the rejection region is (infty, -1.664)
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The p Value: The p value (Left tail) for t = -2.96, df = 13, is; p value = 0.0055
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Calculation for the mean and standard deviation:
Mean = Sum of observation / Total Observations
Standard deviation = SQRT(Variance)
Variance = Sum Of Squares (SS) / n - 1, where SS = SUM(X - Mean)2.
Population 1 | Population 2 | |||||||
# | X | X - Mean | (X - Mean)2 | # | X | X - Mean | (X - Mean)2 | |
1 | 71 | 68.14 | 8.1796 | 1 | 73 | 73 | 0 | |
2 | 63 | 68.14 | 26.4196 | 2 | 71 | 73 | 4 | |
3 | 65 | 68.14 | 9.8596 | 3 | 78 | 73 | 25 | |
4 | 70 | 68.14 | 3.4596 | 4 | 73 | 73 | 0 | |
5 | 71 | 68.14 | 8.1796 | 5 | 73 | 73 | 0 | |
6 | 67 | 68.14 | 1.2996 | 6 | 77 | 73 | 16 | |
7 | 70 | 68.14 | 3.4596 | 7 | 70 | 73 | 9 | |
8 | 69 | 73 | 16 | |||||
Total | 477 | SS | 60.857 | Total | 584 | SS | 70 |
Population 1 | Population 2 | |
Total | 477 | 584 |
n | 7 | 8 |
Mean | 68.14 | 73 |
SS | 60.857 | 70 |
Variance | 10.1429 | 10.0000 |
SD | 3.185 | 3.162 |