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To test whether the significant difference between two proportion test using large sample test.

66% of students at a university live on campus. A random sample found that 20 of 40 male students and 40 of 50 of female students lived on campus. At.05 level of significance, is there sufficient evidence to conclude that a difference exists between the proportion of male students who live on campus and the proportion of female students who live on campus?

a.No, there is not sufficient information to reject the hypothesis that the proportion of male students who live on campus and the proportion of female students who live on campus are the same since the test value -1.65 is inside the acceptance region (-1.96,1.96).

b.Yes, there is sufficient information to reject the hypothesis that the proportion of male students who live on campus and the proportion of female students who live on campus are the same for the reason that the test value -3.15 is outside the acceptance region (-1.96,1.96).

c.Yes, there is sufficient information to reject the hypothesis that the proportion of male students who live on campus and the proportion of female students who live on campus are the same for the reason that the test value -3.00 is outside the acceptance region (-1.96,1.96).

d.No, there is not sufficient information to reject the hypothesis that the proportion of male students who live on campus and the proportion of female students who live on campus are the same because the test value -0.30 is inside the acceptance region (-1.96,1.96).

Statistics and Probability, Statistics

  • Category:- Statistics and Probability
  • Reference No.:- M922083

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