Ethical-Behavior-of-Business-Students-at-Bayview-University

1、Rebecca Hein Case Study #8Ethical Behavior of Business Students at Bayview UniversityDuring the global recession of 2008 and 2009, there were many accusations of unethicalbehavior by Wall Street executives, financial managers, and other corporate officers. At thattime, an article appeared that sugge

2、sted that part of the reason for such unethical businessbehavior may stem from the fact that cheating has become more prevalent among businessstudents. The article reported that 56% of business students admitted to cheating at sometime during their academic career as compared to 47% of nonbusiness s

3、tudents.Cheating has been a concern of the dean of the college of Business at BayviewUniversity for several years. Some faculty members in the college believe cheating is morewidespread at Bayview than at other universities, while other faculty members think thatcheating is not a major problem in th

4、e college. To resolve some ofthese issues, the deancommissioned a study to assess the current ethical behavior of business students at Bayview.As part of this study, an anonymous exit survey was administered to a sample of 90 businessstudents form this yearsgraduating class. Responses to the followi

5、ng questions were used to obtain data regardingthree types of cheating.During your time at Bayview, did you ever present work copied off the Internet as yourown?Yes_ No_During your time at Bayview, did you ever copy answers off another students exam?Yes_No_During your time at Bayview, did you ever c

6、ollaborate with other students on projectsthat were supposed to be completed individually?Yes_No_Any student who answered Yes to one or more of these questions was considered to havebeen involved in some type of cheating.Managerial ReportPrepare a report for the dean of the college that summarizes y

7、our assessment of the nature ofcheating by business students at Bayview University. Be sure to include the following items inyour report.1. Use descriptive statistics to summarize the data and comment on your findings.Resp onse to Copiedfrom In ternetFreque ncyRelativeFreque ncyPerce ntFreque ncyYes

8、16077777778No74：0.82222222282.22222222Total901100Resp onse to Copiedon ExamFreque ncyRelative Freque ncy Perce nt Freque ncyYes180.220No720.880Total901100Resp onse toCollaborated on Individual ProjectFreque ncyRelative Freque ncy Perce nt Freque ncyYes290.32222222232.22222222No610.67777

9、777867.77777778Total901100Gen derFreque ncyRelativeFreque ncyPerce ntFreque ncyFemale420.46666666746.66666667Male48；0.533333333：53.33333333Total901100FEMALESResp onse to Copied fromIn ternetFreque ncyRelativeFreque ncyPerce ntFreque ncyYes90.21428571421.42857143No330.78571428678.57142857Total421100R

10、esp onse to Copied onExamFreque ncyRelativeFreque ncyPerce ntFreque ncyYes90.21428571421.42857143No330.78571428678.57142857Total421100Resp onse toFreque ncyRelativePerce ntCollaborated on In dividualProjectFreque ncyFreque ncyYes110.26190476226.19047619No310.73809523873.80952381Total421100：MALESResp

11、 onse to Copied from InternetFreque ncyRelative Freque ncyPerce nt Freque ncyYes7058333333No410.85416666785.41666667Total481100Resp onse to Copied onExamFreque ncyRelative Freque ncyPerce nt Freque ncyYes90.187518.75No390.812581.25Total481100Resp onse to Collaboratedon In dividual Proje

12、ctFreque ncyRelativeFreque ncyPerce ntFreque ncyYes180.37537.5No300.62562.5Total481100Gen derFreque ncyRelative Freque ncyPerce nt Freque ncyFemale000Male481100Total481100Copied from InternetYESGen der Freque ncyRelative Freque ncyPerce nt Freque ncyFemale90.562556.25Male70.437543.75Total161100NOGen

13、 derFreque ncyRelative Freque ncyPerce nt Freque ncyFemale330.44594594644.59459459Male410.55405405455.40540541Total741100Copied on ExamYESGen derFreque ncyRelativeFreque ncyPerce ntFreque ncyFemale90.550Male90.550Total181100NOGen derFreque ncyRelativeFreque ncyPerce ntFreque ncyFemale330.45833333345

14、.83333333Male390.54166666754.16666667Total721100Collaborated on In dividual ProjectYESGen derFreque ncyRelative Freque ncyPerce nt Freque ncyFemale110.37931034537.93103448Male180.62068965562.06896552Total291100NOGen derFreque ncyRelative Freque ncyPerce nt Freque ncyFemale310.50819672150.81967213Mal

15、e300.49180327949.18032787Total61：1100Summary of DataThere were 90 students in this study and we see that there were moremales tha n females, 6 more males. When the stude nts were asked if theyused the Internet to cheat we see that about 18% of them did. For this 18% ofstude nts who resp on ded yes t

16、o using the internet to cheat, 44% weremales and 56% of them were females. About 21% of the females claimed tohave cheated that way whereas about 14.5% of males did. So here we seethat more females used the Internet to cheat tha n males.Whe n asked if the stude nt copied on an exam 20% said yes. Out

17、 ofthe stude nts who resp on ded yes to copy ing on an exam, 50% were malesand 50% of them were females. About 21% of females an swered yes to thisand about 19% of males also resp on ded with yes. So here we see that itwas pretty similar for the males and females that have copied on an exam.Whe n as

18、ked if the stude nt collaborated on an in dividual projectabout 47% of stude nts resp on ded yes. Out of the stude nts who resp onded yes to collaborati ng on an in dividual project, about 38% were femaleand 62% were males. About 26% of the females resp on ded yes and about38% of males did. So here

19、we see that males are more likely to collaboratewith ano ther stude nt on an in dividual project.2.Develop 95% con fide nee in tervals for the proporti on of all stude nts, theproporti on of male stude nts, and the proporti on of female stude nts whowere invo Ived in some type of cheati ng.All Stude

20、 ntsSample Size90Resp onse of In terestYesCount for Resp onse37Sample Proporti on0.411111111Con fide nee Coefficie nt0.95Level of Signi fica nee (alpha)0.05z Value1.959963985Sta ndard Error0.051865078Margin of Error37.78966642Point Estimate0.411111111Lower Limit37.37855531Upper Limit38.20077754So th

21、e 95% con fide nee in terval for the proporti on of all stude ntswho were in volved in some type of cheat ing is37.3786 to 38.2008Male Stude ntsSample Size48Resp onse of In terestYesCount for Resp onse21Sample Proporti on0.4375Con fide nee Coefficie nt0.95Level of Signi fica nee (alpha)0.05z Value1.

22、959963985Sta ndard Error0.071602745Margin of Error27.37274916Point Estimate0.4375Lower Limit26.93524916Upper Limit27.81024916So the 95% con fide nee in terval for the proporti on of male stude ntswho were in volved in some type of cheat ing is26.9352 to 27.8102Female Stude ntsSample Size42Resp onse

23、of In terestYesCount for Resp onse16Sample Proporti on0.380952381Con fide nee Coefficie nt0.95Level of Signi fica nee (alpha)0.05z Value1.959963985Sta ndard Error0.074932933Margin of Error26.15624287Point Estimate0.380952381Lower Limit25.77529049Upper Limit26.53719525So the 95% con fide nee in terva

24、l for the proporti on of female stude nts whowere invo Ived in some type of cheati ng is 27.81023. Con duct a hypothesis test to determ ine if the proporti on ofbus in ess stude nts at Bayview Un iversity who were invo Ivedin type of cheati ng is less tha n that of bus in ess stude nts atother insti

25、tutions as reported by the Chronicle of Higher education.?: ? .56Sample Size90Response of In terestYesCount for Resp onse37Sample Proporti on0.411111111Hypothesized Value0.56Sta ndard Error0.052323778Test Statistic z-2.845530152p-value (Lower Tail)0.00221687825.7753 tosomep-value (Upper Tail)0.99778

26、3122p-value (two Tail)0.004433756Using the p-value (Upper Tail) of 0.997783122 we see that this isgreater tha n .10 so from page 387 of our text we can con clude thatthere is in sufficie nt evide nee to con clude that Hais true. And weknow this because from this sample about 41% of bus in ess studen

27、ts participated in some form of cheating so Hois accepted becausethats less than 56%4.Con duct a hypothesis test to determ ine if the proporti on of bus in ess students at Bayview Un iversity who were invo Ived in some form of cheat ing isless tha n that of non bus in ess stude nts at other institut

28、ions as reported bythe Chronicle of Higher Educatio n.?:? .47Sample Size90Response of In terestYesCount for Resp onse37Sample Proporti on0.411111111Hypothesized Value0.47Sta ndard Error0.052609674Test Statistic z-1.119354762p-value (Lower Tail)0.131494411p-value (Upper Tail)0.868505589p-value (two Tail)0.262988822Using the p-value (Upper Tail) of 0.868505589 we see that this isgreater tha n .10 so from page 387 of our text we can con clude t