a) From the given data
| Observed Frequencies | |||
| Over 40 | |||
| Released | No | Yes | Total |
| Yes | 6 | 40 | 46 |
| No | 505 | 766 | 1271 |
| Total | 511 | 806 | 1317 |
The percentage of each employee age group were released is, uder
40, 511/1317 = 0.388 = 38.8%
The percentage of each employee age group were released is, Over
40, 806/1317 = 0.612 = 61.2%
The relation between age and being released is Yes
Answer: Yes
b)
| The expected frequencies are | |||
| Over 40 | |||
| Released | No | Yes | Total |
| Yes | 17.848 | 28.152 | 46 |
| No | 493.152 | 777.848 | 1271 |
| Total | 511 | 806 | 1317 |
The Chi-Square contribution values are
| Oi | Ei | (Oi-Ei)^2 /Ei |
| 6 | 17.848 | 7.865 |
| 40 | 28.152 | 4.9863 |
| 505 | 493.152 | 0.2846 |
| 766 | 777.848 | 0.1805 |
| Total: | 13.3164 |
Test Statistic, X^2: 13.3168
Degrees of freedom: 1
P-Value: 0.0003
Here P-value < alpha 0.05 so we reject H0
Correct Answer: Option (A) There is evidence that there is a relationship between employee's age and being released
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