Solution) This table shows some Descriptive Statistics from a recent class. Females Age Yrs Males Age Yr
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 | |
a) 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.
b) 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.
c) 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.
Deliverables: Word Document
