(1 point) It has been suggusted that the highest priority of retirees is travel. Thus, a study was conducted to investigate the differences in the length of stay of a trip for pre- and post-retirees. A sample of 717717 travelers were asked how long they stayed on a typical trip. The observed results of the study are found below.
Number of Nights | Pre-retirement | Post-retirement | Total |
4−74−7 | 245245 | 171171 | 416416 |
8−138−13 | 8282 | 6868 | 150150 |
14−2114−21 | 3535 | 6060 | 9595 |
2222 or more | 1616 | 4040 | 5656 |
Total | 378378 | 339339 | 717717 |
With this information, construct a table of estimated expected
values.
Number of Nights | Pre-retirement | Post-retirement |
4−74−7 | ||
8−138−13 | ||
14−2114−21 | ||
2222 or more |
Now, with that information, determine whether the length of stay is
independent of retirement using α=0.01α=0.01.
(a) χ2=χ2=
(b) Find the degrees of freedom:
(c) Find the critical value:
(d) The final conclusion is
A. We can reject the null hypothesis that the
length of stay is independent of retirement and accept the
alternative hypothesis that the two are dependent.
B. There is not sufficient evidence to reject the
null hypothesis that the length of stay is independent of
retirement.
The statistic software output for this problem is:
Test statistics is = 29.300
Degrees of freedom = 3
critical value = 11.34
A. We can reject the null hypothesis that the length of stay is independent of retirement
and accept the alternative hypothesis that the two are dependent.
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