It has been suggested 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 695 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 4-7 244 171 415 8-13 81 62 143 14-21 34 54 88 22 or more 18 31 49 Total 377 318 695 With this information, construct a table of expected numbers. Number of Nights Pre-retirement Post-retirement 4-7 8-13 14-21 22 or more The chi-squared value is x2 = 18.4844516991975 Using a = 0.05, consider a test of Ho: length of stay and retirement are not related vs. HA: length of stay and retirement are related. Note that this problem involves a 4 x 2 0.05 level of significance is magic number = 7.81. contingency table and that the magic number for evaluating such a table at the a The final conclusion is A. Accept Ho. There is not sufficient evidence to conclude that the length of stay is related to retirement. B. Reject Ho. There is sufficient evidence to conclude that the length of stay is related to retirement.
It has been suggested 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 695 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 4-7 244 171 415 8-13 81 62 143 14-21 34 54 88 22 or more 18 31 49 Total 377 318 695 With this information, construct a table of expected numbers. Number of Nights Pre-retirement Post-retirement 4-7 8-13 14-21 22 or more The chi-squared value is x2 = 18.4844516991975 Using a = 0.05, consider a test of Ho: length of stay and retirement are not related vs. HA: length of stay and retirement are related. Note that this problem involves a 4 x 2 0.05 level of significance is magic number = 7.81. contingency table and that the magic number for evaluating such a table at the a The final conclusion is A. Accept Ho. There is not sufficient evidence to conclude that the length of stay is related to retirement. B. Reject Ho. There is sufficient evidence to conclude that the length of stay is related to retirement.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:It has been suggested 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 695 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
4-7
244
171
415
8-13
81
62
143
14-21
34
54
88
22 or more
18
31
49
Total
377
318
695
With this information, construct a table of expected numbers.
Number of Nights Pre-retirement Post-retirement
4-7
8-13
14-21
22 or more
The chi-squared value is x2 = 18.4844516991975
Using a = 0.05, consider a test of Ho: length of stay and retirement are not related vs. HA: length of stay and retirement are related. Note that this problem involves a 4 x 2
0.05 level of significance is magic number = 7.81.
contingency table and that the magic number for evaluating such a table at the a
The final conclusion is
A. Accept Ho. There is not sufficient evidence to conclude that the length of stay is related to retirement.
B. Reject Ho. There is sufficient evidence to conclude that the length of stay is related to retirement.
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