Sample surveys on sensitive issues can give different results depending on how the question is asked. A University of Wisconsin study divided 2400 respondents into three groups at random. All were asked if they had ever used cocaine. One group of 800 was interviewed by phone; 21% said they had used cocaine. Another 800 people were asked the question in a one-on-one personal interview; 25% said "Yes". The remaining 800 were allowed to make an anonymous written response; 28% said "Yes". Are there statistically significant differences among these proportions? State the hypothesis, convert that information given into a two-way table of counts, give the test statistic and its P-value, and state your conclusion.
null hypothesis:Ho the proportion are equal for all three groups
Alternative hypothesis:Ha :the proportion are not equal for all three groups
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: |
Observed | Oi | 1st group | 2nd group | 3rd group | Total |
Use | 168 | 200 | 224 | 592 | |
not use | 632 | 600 | 576 | 1808 | |
total | 800 | 800 | 800 | 2400 | |
Expected | Ei=row total*column total/grand total | 1st group | 2nd group | 3rd group | Total |
Use | 197.3333 | 197.3333 | 197.3333 | 592 | |
not use | 602.6667 | 602.6667 | 602.6667 | 1808 | |
total | 800 | 800 | 800 | 2400 | |
chi square χ2 | =(Oi-Ei)2/Ei | 1st group | 2nd group | 3rd group | Total |
Use | 4.3604 | 0.0360 | 3.6036 | 8.0000 | |
not use | 1.4277 | 0.0118 | 1.1799 | 2.6195 | |
total | 5.7881 | 0.0478 | 4.7835 | 10.6195 | |
test statistic X2 = | 10.619 | ||||
p value = | 0.0049 |
since p value is significantly low, we reject null hypothesis
we have sufficient evidence to conclude that the proportion are not equal for all three groups
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