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Please use Excel to explain answers. Thanks. A contingency analysis table has be

ID: 3153861 • Letter: P

Question

Please use Excel to explain answers. Thanks.

A contingency analysis table has been constructed from data obtained in a phone survey of customers in a market area in which respondents were asked to indicate whether they owned a domestic or foreign car and whether they were a member of a union or not. The following contingency table is provided. Use the chi-square approach to test whether type of car owned (domestic or foreign) is independent of union membership. Test using an alpha = 0.05 level. Calculate the p-value for this hypothesis test.

Explanation / Answer

A)

Doing an Expected Value Chart,          
          
123.1060606   501.8939394  
71.89393939   293.1060606  
          
Using chi^2 = Sum[(O - E)^2/E],          
          
chi^2 =    27.90919379   [ANSWER, TEST STATISTIC]  
          
With df = (a - 1)(b - 1), where a and b are the number of categories of each variable,          
          
a =    2      
b =    2      
          
df =    1      
          
Thus, the critical value is          
          
significance level =    0.05      
          
chi^2(critical) =    3.841458821      

[type : =CHISQ.INV.RT(0.05, 1)]

As chi^2 > 3.841, we   REJECT THE NULL HYPOTHESIS.              
Thus, there is significant evidence that having a foreign and domestic car is not independent of being a member of a union or not at 0.05 level. [CONCLUSION]
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b)
          
Also, the p value is          
          
P =    1.27144*10^-7   [ANSWER, P VALUE]  

[type: =CHISQ.DIST.RT(27.90919379, 1) ]
          
As P < 0.05, we   REJECT THE NULL HYPOTHESIS.      
          
Thus, there is significant evidence that having a foreign and domestic car is not independent of being a member of a union or not at 0.05 level. [CONCLUSION]