(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....


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(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-<br>retirees. A sample of 696 travelers were asked how long they stayed on a typical trip. The observed results of the study are found below.<br>Number of Nights Pre-retirement Post-retirement Total<br>4 7<br>239<br>163<br>402<br>8 - 13<br>82<br>71<br>153<br>14 21<br>35<br>51<br>86<br>22 or more<br>18<br>37<br>55<br>Total<br>374<br>322<br>696<br>With this information, construct a table of estimated expected values.<br>Number of Nights<br>Pre-retirement<br>Post-retirement<br>4 - 7<br>8 – 13<br>14 – 21<br>22 or more<br>Now, with that information, determine whether the length of stay is independent of retirement using a = 0.01.<br>(a) x?<br>(b) Find the degrees of freedom:<br>(c) Find the critical value:<br>(d) The final conclusion is<br>OA. There is not sufficient evidence to reject the null hypothesis that the length of stay is independent of retirement.<br>OB. 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.<br>

Extracted text: (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 696 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 7 239 163 402 8 - 13 82 71 153 14 21 35 51 86 22 or more 18 37 55 Total 374 322 696 With this information, construct a table of estimated expected values. Number of Nights Pre-retirement Post-retirement 4 - 7 8 – 13 14 – 21 22 or more Now, with that information, determine whether the length of stay is independent of retirement using a = 0.01. (a) x? (b) Find the degrees of freedom: (c) Find the critical value: (d) The final conclusion is OA. There is not sufficient evidence to reject the null hypothesis that the length of stay is independent of retirement. OB. 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.

Jun 02, 2022
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