Ethical Behavior of Business Students at Bayview University

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

2、ested that part of the reason for such unethical business behavior may stem from the fact that cheating has become more prevalent among business students. The article reported that 56% of business students admitted to cheating at some time during their academic career as compared to 47% of nonbusine

3、ss students.Cheating has been a concern of the dean of the college of Business at Bayview University for several years. Some faculty members in the college believe cheating is more widespread at Bayview than at other universities, while other faculty members think that cheating is not a major proble

4、m in the college. To resolve some ofthese issues, the dean commissioned 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 business students form this years graduating class. Responses to

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

6、id you ever collaborate with other students on projects that were supposed to be completed individually?Yes_No_Any student who answered Yes to one or more of these questions was considered to have been involved in some type of cheating. Managerial ReportPrepare a report for the dean of the college t

7、hat summarizes your assessment of the nature of cheating by business students at Bayview University. Be sure to include the following items in your report.1. Use descriptive statistics to summarize the data and comment on your findings.Response to Copied from InternetFrequencyRelative FrequencyPerce

8、nt FrequencyYes16077777778No740.82222222282.22222222Total901100Response to Copied on ExamFrequencyRelative FrequencyPercent FrequencyYes180.220No720.880Total901100Response to Collaborated on Individual ProjectFrequencyRelative FrequencyPercent FrequencyYes290.32222222232.22222222No610.6

9、7777777867.77777778Total901100GenderFrequencyRelative FrequencyPercent FrequencyFemale420.46666666746.66666667Male480.53333333353.33333333Total901100FEMALESResponse to Copied from InternetFrequencyRelative FrequencyPercent FrequencyYes90.21428571421.42857143No330.78571428678.57142857Total421100Respo

10、nse to Copied on ExamFrequencyRelative FrequencyPercent FrequencyYes90.21428571421.42857143No330.78571428678.57142857Total421100Response to Collaborated on Individual ProjectFrequencyRelative FrequencyPercent FrequencyYes110.26190476226.19047619No310.73809523873.80952381Total421100MALESResponse to C

11、opied from InternetFrequencyRelative FrequencyPercent FrequencyYes7058333333No410.85416666785.41666667Total481100Response to Copied on ExamFrequencyRelative FrequencyPercent FrequencyYes90.187518.75No390.812581.25Total481100Response to Collaborated on Individual ProjectFrequencyRelative

12、 FrequencyPercent FrequencyYes180.37537.5No300.62562.5Total481100GenderFrequencyRelative FrequencyPercent FrequencyFemale000Male481100Total481100Copied from InternetYESGenderFrequencyRelative FrequencyPercent FrequencyFemale90.562556.25Male70.437543.75Total161100NOGenderFrequencyRelative FrequencyPe

13、rcent FrequencyFemale330.44594594644.59459459Male410.55405405455.40540541Total741100Copied on ExamYESGenderFrequencyRelative FrequencyPercent FrequencyFemale90.550Male90.550Total181100NOGenderFrequencyRelative FrequencyPercent FrequencyFemale330.45833333345.83333333Male390.54166666754.16666667Total7

14、21100Collaborated on Individual ProjectYESGenderFrequencyRelative FrequencyPercent FrequencyFemale110.37931034537.93103448Male180.62068965562.06896552Total291100NOGenderFrequencyRelative FrequencyPercent FrequencyFemale310.50819672150.81967213Male300.49180327949.18032787Total611100Summary of DataThe

15、re were 90 students in this study and we see that there were more males than females, 6 more males. When the students were asked if they used the Internet to cheat we see that about 18% of them did. For this 18% of students who responded yes to using the internet to cheat, 44% were males and 56% of

16、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,

17、 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 abou

18、t 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

19、 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 StudentsSample Size90Response of InterestYesCount for Response37Sample Proportion0.4

20、11111111Confidence Coefficient0.95Level of Significance (alpha)0.05z Value1.959963985Standard Error0.051865078Margin of Error37.78966642Point Estimate0.411111111Lower Limit-37.37855531Upper Limit38.20077754So the 95% confidence interval for the proportion of all students who were involved in some ty

21、pe of cheating is 37.3786 to 38.2008Male StudentsSample Size48Response of InterestYesCount for Response21Sample Proportion0.4375Confidence Coefficient0.95Level of Significance (alpha)0.05z Value1.959963985Standard Error0.071602745Margin of Error27.37274916Point Estimate0.4375Lower Limit-26.93524916U

22、pper Limit27.81024916So the 95% confidence interval for the proportion of male students who were involved in some type of cheating is 26.9352 to 27.8102Female StudentsSample Size42Response of InterestYesCount for Response16Sample Proportion0.380952381Confidence Coefficient0.95Level of Significance (

23、alpha)0.05z Value1.959963985Standard Error0.074932933Margin of Error26.15624287Point Estimate0.380952381Lower Limit-25.77529049Upper Limit26.53719525So the 95% confidence interval for the proportion of female students who were involved in some type of cheating is 25.7753 to 27.81023. Conduct a hypot

24、hesis 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. H0:.56Ha:>.56Sample Size90Response of InterestYesCount for

25、 Response37Sample Proportion0.411111111Hypothesized Value0.56Standard Error0.052323778Test Statistic z-2.845530152p-value (Lower Tail)0.002216878p-value (Upper Tail)0.997783122p-value (two Tail)0.004433756Using the p-value (Upper Tail) of 0.997783122 we see that this is greater than .10 so from page

26、 387 of our text we can conclude that there is insufficient evidence to conclude that Ha is true. And we know this because from this sample about 41% of business students participated in some form of cheating so H0 is accepted because thats less than 56%4. Conduct a hypothesis test to determine if t

27、he proportion of business students at Bayview University who were involved in some form of cheating is less than that of nonbusiness students at other institutions as reported by the Chronicle of Higher Education.H0:.47Ha:>.47Sample Size90Response of InterestYesCount for Response37Sample Proporti

28、on0.411111111Hypothesized Value0.47Standard 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 is greater than .10 so from page 387 of our text we can conclude that there is insufficien