[Solution Library] This table shows some Descriptive Statistics from a recent class. Females Age Yrs Males Age Yrs Mean 42.00 Mean 38.76 Std Error 2.18
Question: This table shows some Descriptive Statistics from a recent class.
| Females Age Yrs | Males Age Yrs | |||
| Mean | 42.00 | Mean | 38.76 | |
| Std Error | 2.18 | Std Error | 1.63 | |
| Median | 43 | Median | 39 | |
| Mode | 44 | Mode | 45 | |
| Std Dev | 6.54 | Std Dev | 6.74 | |
| Skewness | -0.40 | Skewness | -0.12 | |
| Range | 21 | Range | 27 | |
| Minimum | 30 | Minimum | 25 | |
| Maximum | 51 | Maximum | 52 | |
| Count | 9 | Count | 17 | |
- Assume that these 17 Males are a valid random sample from the total population. Compute the 90% confidence interval for the estimated mean age for all Male students.
- Again assume this is a valid random sample from the population of all students. These samples of 9 Females and 17 Males suggest that the mean age of all Female students is greater than the mean age of all Males. Compute the statistical significance.
- The above sample data suggests that the proportion of Males in the total program is ‘best-estimated’ at: 17/(17+9) = 17/26 = 65%.
Compute the 90% confidence interval for this estimated proportion of Males in the population from which this sample was drawn.
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