About 21 of the females claimed to have cheated that

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and 56% of them were females. About 21% of the females claimed to have cheated that way whereas about 14.5% of males did. So here we see that more females used the Internet to cheat than males. When asked if the student copied on an exam 20% said yes. Out of the students who responded yes to copying on an exam, 50% were males and 50% of them were females. About 21% of females answered yes to this and about 19% of males also responded with yes. So here we see that it was pretty similar for the males and females that have copied on an exam. When asked if the student collaborated on an individual project about 47% of students responded yes. Out of the students who responded yes to collaborating on an individual project, about 38% were female and 62% were males. About 26% of the females responded yes and about 38% of males did. So here we see that males are more likely to collaborate with another student on an individual project.
2. Develop 95% confidence intervals for the proportion of all students, the proportion of male students, and the proportion of female students who were involved in some type of cheating. All Students Sample Size 90 Response of Interest Yes Count for Response 37 Sample Proportion 0.411111111 Confidence Coefficient 0.95 Level of Significance (alpha) 0.05 z Value 1.95996398 5 Standard Error 0.05186507 8 Margin of Error 37.7896664 2 Point Estimate 0.411111111 Lower Limit - 37.3785553 1 Upper Limit 38.2007775 4 So the 95% confidence interval for the proportion of all students who were involved in some type of cheating is 37.3786 to 38.2008 Male Students Sample Size 48 Response of Interest Yes Count for Response 21 Sample Proportion 0.4375 Confidence Coefficient 0.95 Level of Significance (alpha) 0.05 z Value 1.95996398 5 Standard Error 0.07160274 5 Margin of Error 27.3727491 6
Point Estimate 0.4375 Lower Limit - 26.9352491 6 Upper Limit 27.8102491 6 So the 95% confidence interval for the proportion of male students who were involved in some type of cheating is 26.9352 to 27.8102 Female Students Sample Size 42 Response of Interest Yes Count for Response 16 Sample Proportion 0.38095238 1 Confidence Coefficient 0.95 Level of Significance (alpha) 0.05 z Value 1.95996398 5 Standard Error 0.07493293 3 Margin of Error 26.1562428 7 Point Estimate 0.38095238 1 Lower Limit - 25.7752904 9 Upper Limit 26.5371952 5 So the 95% confidence interval for the proportion of female students who were involved in some type of cheating is 25.7753 to 27.8102 3. Conduct a hypothesis test to determine if the proportion of business students at Bayview University who were involved in some type of cheating is less than that of business students at other institutions as reported by the Chronicle of Higher education.

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