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Only t exam. The exam and all StT 12-In a poll conducted, a random sample of adult Americans were asked. How importance is a

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Null hypothesis:Ho: proportion of adults who feels that a candidate looks is important is independent on political affiliation

Alternate hypothesis:Ha: proportion of adults who feels that a candidate looks is important is dependent on political affiliation

degree of freedom(df) =(rows-1)*(columns-1)= 2
for 2 df and 0.05 level of signifcance critical region       χ2= 5.991

Applying chi square test of independence:

Expected Ei=row total*column total/grand total Democrat Independent Republican Total
Important 223.62 169.44 252.94 646
Not important 325.38 246.56 368.06 940
total 549 416 621 1586
chi square    χ2 =(Oi-Ei)2/Ei Democrat Independent Republican Total
Important 0.058 1.066 1.150 2.275
Not important 0.040 0.733 0.791 1.564
total 0.099 1.799 1.941 3.8389

as test statistic 3.839 does not fall in rejection region; we fail to reject null hypothesis

we do not have evidence at 0.05 level to conclude that proportion of adults who feels that a candidate looks is important is dependent on political affiliation

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