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)
___________________________________________________
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)
_________________________________________________________
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.