In: Math
Refer to the accompanying data set and construct a 90% confidence interval estimate of the mean pulse rate of adult females; then do the same for adult males. Compare the results.
Males | Females |
83 | 79 |
74 | 96 |
51 | 56 |
61 | 67 |
53 | 55 |
59 | 83 |
53 | 78 |
78 | 84 |
52 | 90 |
63 | 58 |
69 | 37 |
61 | 64 |
67 | 86 |
76 | 76 |
80 | 78 |
65 | 64 |
68 | 66 |
97 | 76 |
45 | 62 |
86 | 66 |
75 | 83 |
61 | 80 |
70 | 72 |
73 | 72 |
54 | 85 |
64 | 90 |
58 | 86 |
78 | 89 |
72 | 88 |
67 | 94 |
67 | 70 |
98 | 88 |
57 | 83 |
68 | 83 |
60 | 74 |
56 | 58 |
66 | 103 |
67 | 73 |
85 | 74 |
56 | 75 |
For Females
From the data: = 76.025, s = 13.1432
Since population standard deviation is unknown, the tcritical (2 tail) for = 0.10, for df = n -1 = 39, is 1.685
The Confidence Interval is given by ME, where
The Lower Limit = 76.025 - 3.501 = 72.524
The Upper Limit = 76.025 + 3.501 = 79.526
The 90% Confidence Interval is (72.524 , 79.526)
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For Males
From the data: = 67.325, s = 12.0669
ME = tcritical * \frac{s}{\sqrt{n}} = 1.685 * \frac{12.0669}{\sqrt{40}} = 3.215
The Lower Limit = 67.325 - 3.215 = 64.110
The Upper Limit = 67.325 + 3.215 = 70.54
The 90% Confidence Interval is (64.11 , 70.54)
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We see that there is no overlapping between the 2 confidence intervals, which means that it is safe to say that the null hypothesis H0: , will be rejected, and that there will be a statistical difference between the means.