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Please Help! (1 pt) It has been suggusted that the highest priority of retirees

ID: 3159700 • Letter: P

Question

Please Help!

(1 pt) 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 674 travelers were asked how long they stayed on a typical trip. The observed results of the study are found below.


With this information, construct a table of estimated expected values.


Now, with that information, determine whether the length of stay is independent of retirement using =0.01 .

(a) 2=

(b) Find the degrees of freedom:

(c) Find the critical value:

(d) The final conclusion is

A. There is not sufficient evidence to reject the null hypothesis that the length of stay is independent of retirement.
B. 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.

Number of Nights Pre-retirement Post-retirement Total 47 238 171 409 813 77 62 139 1421 31 53 84 22 or more 12 30 42 Total 358 316 674 It has been suggested that the highest priority of retirees is travel. Thus, a study was conducted to investigate the differences in the lengh of stay of a trip for pre- and post-retirees. A sample of 674 travelers were asked how long they stayed on a typical trip. The observed results of the study are found below. With this information, construct a table of estimated expected values. Now, with that information, determine whether the length of stay is independent of retirement using alpha = 0.01. x^2 = Find the degrees of freedom: Find the critical value: The final conclusion is There is not sufficient evidence to reject the null hypothesis that the length of stay is independent of retirement. 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.

Explanation / Answer

Doing an Expected Value Chart,          
          

          
a)

Using chi^2 = Sum[(O - E)^2/E],          
          
chi^2 =    23.54466127   [ANSWER]

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b)  
          
With df = (a - 1)(b - 1), where a and b are the number of categories of each variable,          
          
a =    2      
b =    4      
          
df =    3   [ANSWER]

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c)  
          
Thus, the critical value is          
          
significance level =    0.01      
          
chi^2(critical) =    11.34486673   [ANSWER]

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d)  
          
As chi^2 > 11.345, we   REJECT THE NULL HYPOTHESIS.      

OPTION B. 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. [ANSWER, B]          

217.2433 191.7567 73.83086 65.16914 44.61721 39.38279 22.30861 19.69139