Student Instructions BM
Student Instructions BM
| Overview – Benchmark | |
| Your group has been given a dataset containing 240 records, located in the Student_BM tab of this spreadsheet.. | |
| Each student is only responsible for analyzing 60 of these record records – the specifics of which will be assigned by the instructor. | |
| It is important that each student has a unique 60 records, as the results will be an input into the CLC, and duplication of | |
| results is not helpful. Note that the data have been randomized, so the data given to your group are likely different than the | |
| data given to other groups. | |
| The intent of this assignment is for students to organize their data using a pivot table, get a graphical understanding | |
| of the data through a bar chart, then do hypothesis testing comparing Bo Diddly Tech results versus the national average. | |
| All of your analysis should be done in the Student_BM tab of this spreadsheet and submitted as part of the assignmemt. | |
| The location where the pivot table, bar chart, and relevant information should be placed in the Student_BM tab is | |
| indicated by RED instructions. | |
| Once completed, the Student_BM tab will serve as the basis for writing your management report. It is expected that any | |
| conclusions you draw in the management report will be consistent with the data and analyses contained in the spreadsheet. | |
| Instructions Data Analysis Component: | |
| 1. Make a pivot table with: Business Student (Rows), Athlete (Rows), Cheated (Columns), and Cheated (Summed Value). | |
| 2. Create a bar chart showing cheating by athletes and business students. | |
| 4. Determine if there is a statistical difference between nonathlete BDT business students and the national average for business | |
| students as reported by the Chronicle of Higher Education. | |
| 5. Determine if there is a statistical difference between athlete BDT business students and the national average for business | |
| students as reported by the Chronicle of Higher Education. | |
| 6. Determine if there is a statistical difference between BDT business students and the national average for business students | |
| as reported by the Chronicle of Higher Education. | |
| 7. Determine if there is a statistical difference between BDT nonbusiness students and the national average for nonbusiness | |
| students as reported by the Chronicle of Higher Education. | |
| Instructions Data Interpretation Component: | |
| Utilizing the data you have analyzed, write a managerial report of 500-800 words to the dean. The managerial report needs to | |
| include an introduction, analysis, conclusion, and a minimum of three supporting references. | |
| 1. Introduction (Define): Explain in your own words why you are providing this report and the problem(s) you are trying to solve. | |
| 2. Collect: Describe the data set you used. | |
| 3. Organize: Describe your pivot table. | |
| 4. Visualize: Include and describe your bar chart. | |
| 5. Analyze: Provide a summary of your conclusions based upon the four population proportion hypothesis tests. | |
| 6. The Dean has expressed a concern related to the amount of cheating currently taking place at Bo Diddley Tech and has strongly | |
| suggested that you “tweak” the statistical data such that it favors the image of the university. | |
| Discuss the potential use of unethical manipulation of statistical data to provide a biased outcome as well as the ethical counter | |
| proposal you would offer the dean in this scenario. | |
| 7. Conclusion: What advice would you give to the dean based on your analysis of the data? |
Student_BM
| College | Athlete | Cheated | 1. Pivot Table | Nationwide Average | % Cheated | |||||||||||||||||
| Insert pivot table in this cell – F2 | Business | 56% | ||||||||||||||||||||
| Nonbusiness | 47% | |||||||||||||||||||||
| Insert pivot table in this cell – F2 | ||||||||||||||||||||||
| Bar chart starts in this cell – F20 | ||||||||||||||||||||||
| Bar chart starts in this cell – F20 | ||||||||||||||||||||||
| Insert the appropriate numbers into the hypothesis testing calculations below based upon your pivot table results. Note the results. | ||||||||||||||||||||||
| 3-6 Hypothesis Test | ||||||||||||||||||||||
| Business Nonathlete vs. National Average | Business Athlete vs. National Average | Business vs. National Average | Nonbusiness vs. National Average | Business Athlete vs. Business Nonathlete | ||||||||||||||||||
| Proportion | Proportion | Proportion | Proportion | p1 and p2 Proportion | ||||||||||||||||||
| Sample Size (n) =count(range) | ERROR:#REF! | Sample Size (n) =count(range) | ERROR:#REF! | Sample Size (n) =count(range) | ERROR:#REF! | Sample Size (n) =count(range) | ERROR:#REF! | Athlete | Nonathlete | |||||||||||||
| Response of Interest (ROI) | Cheated | Response of Interest (ROI) | Cheated | Response of Interest (ROI) | Cheated | Response of Interest (ROI) | Cheated | Sample Size (n1 or n2) =COUNT(range) | ERROR:#REF! | ERROR:#REF! | ERROR:#REF! | |||||||||||
| Count for Response (CFR) =COUNTIF(range,ROI) | ERROR:#REF! | Count for Response (CFR) =COUNTIF(range,ROI) | ERROR:#REF! | Count for Response (CFR) =COUNTIF(range,ROI) | ERROR:#REF! | Count for Response (CFR) =COUNTIF(range,ROI) | ERROR:#REF! | Response of Interest (ROI) | ERROR:#REF! | ERROR:#REF! | ERROR:#REF! | |||||||||||
| Sample Proportion (pbar) =CFR/n | ERROR:#REF! | Sample Proportion (pbar) =CFR/n | ERROR:#REF! | Sample Proportion (pbar) =CFR/n | ERROR:#REF! | Sample Proportion (pbar) =CFR/n | ERROR:#REF! | Count for Response (CFR) =COUNTIF(n1or2,ROI) | Did Not Cheat | Did Not Cheat | ||||||||||||
| Sample Proportion (p1 or p2) =CFR1or2/n1or2 | ERROR:#REF! | ERROR:#REF! | ||||||||||||||||||||
| Highlight your H0 and Ha | Two Tail H0: p = po Ha: p ≠ po Left Tail H0: p ≥ po Ha: p < po Right Tail H0: p ≤ po Ha: p > po | Highlight your H0 and Ha | Two Tail H0: p = po Ha: p ≠ po Left Tail H0: p ≥ po Ha: p < po Right Tail H0: p ≤ po Ha: p > po | Highlight your H0 and Ha | Two Tail H0: p = po Ha: p ≠ po Left Tail H0: p ≥ po Ha: p < po Right Tail H0: p ≤ po Ha: p > po | Highlight your H0 and Ha | Two Tail H0: p = po Ha: p ≠ po Left Tail H0: p ≥ po Ha: p < po Right Tail H0: p ≤ po Ha: p > po | |||||||||||||||
| Hypothesized | 0.56 | Hypothesized | 0.56 | Hypothesized | 0.56 | Hypothesized | 0.47 | Highlight your H0 and Ha | Two Tail H0: p1-p2=0 Left Tail H0: p1-p2≥0 Right Tail H0: p1-p2≤0 | Ha: p1-p2≠0 Ha: p1-p2<0 Ha: p1-p2>0 | ||||||||||||
| Confidence Coefficient (Coe) | 0.95 | Confidence Coefficient (Coe) | 0.95 | Confidence Coefficient (Coe) | 0.95 | Confidence Coefficient (Coe) | 0.95 | Hypothesized Value | 0 | |||||||||||||
| Level of Significance (alpha) =1-Coe | 0.05 | Level of Significance (alpha) =1-Coe | 0.05 | Level of Significance (alpha) =1-Coe | 0.05 | Level of Significance (alpha) =1-Coe | 0.05 | Level of Sig. α | 0.05 | |||||||||||||
| Point Estimation of Difference (Point) =p1-p2 | ERROR:#REF! | |||||||||||||||||||||
| Standard Error (StdError) =SQRT(Hypo*(1-Hypo)/n) | ERROR:#REF! | Standard Error (StdError) =SQRT(Hypo*(1-Hypo)/n) | ERROR:#REF! | Standard Error (StdError) =SQRT(Hypo*(1-Hypo)/n) | ERROR:#REF! | Standard Error (StdError) =SQRT(Hypo*(1-Hypo)/n) | ERROR:#REF! | |||||||||||||||
| Test Statistic (Z-stat) =(pbar-Hypo)/StdError | ERROR:#REF! | Test Statistic (Z-stat) =(pbar-Hypo)/StdError | ERROR:#REF! | Test Statistic (Z-stat) =(pbar-Hypo)/StdError | ERROR:#REF! | Test Statistic (Z-stat) =(pbar-Hypo)/StdError | ERROR:#REF! | Pooled Estimation of p (PE) =(n1*p1+n2*p2)/(n1+n2) | ERROR:#REF! | |||||||||||||
| Accept or Reject: Left Tail | ERROR:#REF! | Accept or Reject: Left Tail | ERROR:#REF! | Accept or Reject: Left Tail | ERROR:#REF! | Accept or Reject: Left Tail | ERROR:#REF! | Standard Error (StdError) =SQRT(PE*(1-PE)*(1/n1+1/n2)) | ERROR:#REF! | |||||||||||||
| Accept or Reject: Right Tail | ERROR:#REF! | Accept or Reject: Right Tail | ERROR:#REF! | Accept or Reject: Right Tail | ERROR:#REF! | Accept or Reject: Right Tail | ERROR:#REF! | Test Statistic Z-stat =(Point-Hypo)/StdError | ERROR:#REF! | |||||||||||||
| Accept or Reject: Two Tail | ERROR:#REF! | Accept or Reject: Two Tail | ERROR:#REF! | Accept or Reject: Two Tail | ERROR:#REF! | Accept or Reject: Two Tail | ERROR:#REF! | Accept or Reject: Left Tail | ERROR:#REF! | |||||||||||||
| Accept or Reject: Right Tail | ERROR:#REF! | |||||||||||||||||||||
| p-value (Lower Tail) =NORM.S.DIST(z,TRUE) | ERROR:#REF! | p-value (Lower Tail) =NORM.S.DIST(z,TRUE) | ERROR:#REF! | p-value (Lower Tail) =NORM.S.DIST(z,TRUE) | ERROR:#REF! | p-value (Lower Tail) =NORM.S.DIST(z,TRUE) | ERROR:#REF! | Accept or Reject: Two Tail | ERROR:#REF! | |||||||||||||
| p-value (Upper Tail) =1-LowerTail | ERROR:#REF! | p-value (Upper Tail) =1-LowerTail | ERROR:#REF! | p-value (Upper Tail) =1-LowerTail | ERROR:#REF! | p-value (Upper Tail) =1-LowerTail | ERROR:#REF! | |||||||||||||||
| p-value (Two Tail) =2*MIN(LowerTail,UpperTail) | ERROR:#REF! | p-value (Two Tail) =2*MIN(LowerTail,UpperTail) | ERROR:#REF! | p-value (Two Tail) =2*MIN(LowerTail,UpperTail) | ERROR:#REF! | p-value (Two Tail) =2*MIN(LowerTail,UpperTail) | ERROR:#REF! | p-value (Lower Tail) =NORM.S.DIST(Zstat,TRUE) | ERROR:#REF! | |||||||||||||
| Accept or Reject p-value: Left Tail | ERROR:#REF! | Accept or Reject p-value: Left Tail | ERROR:#REF! | Accept or Reject p-value: Left Tail | ERROR:#REF! | Accept or Reject p-value: Left Tail | ERROR:#REF! | p-value (Upper Tail) =1-LowerTail | ERROR:#REF! | |||||||||||||
| Accept or Reject p-value: Right Tail | ERROR:#REF! | Accept or Reject p-value: Right Tail | ERROR:#REF! | Accept or Reject p-value: Right Tail | ERROR:#REF! | Accept or Reject p-value: Right Tail | ERROR:#REF! | p-value (Two Tail) =2*MIN(LowerTail,UpperTail) | ERROR:#REF! | |||||||||||||
| Accept or Reject p-value: Two Tail | ERROR:#REF! | Accept or Reject p-value: Two Tail | ERROR:#REF! | Accept or Reject p-value: Two Tail | ERROR:#REF! | Accept or Reject p-value: Two Tail | ERROR:#REF! | Accept or Reject p-value: Left Tail | ERROR:#REF! | |||||||||||||
| Accept or Reject p-value: Right Tail | ERROR:#REF! | |||||||||||||||||||||
| p-Lower Limit =pbar-CONFIDENCE.NORM(alpha,StdError,n) | ERROR:#REF! | p-Lower Limit =pbar-CONFIDENCE.NORM(alpha,StdError,n) | ERROR:#REF! | p-Lower Limit =pbar-CONFIDENCE.NORM(alpha,StdError,n) | ERROR:#REF! | p-Lower Limit =pbar-CONFIDENCE.NORM(alpha,StdError,n) | ERROR:#REF! | Accept or Reject p-value: Two Tail | ERROR:#REF! | |||||||||||||
| p-Upper Limit =pbar+CONFIDENCE.NORM(alpha,StdError,n) | ERROR:#REF! | p-Upper Limit =pbar+CONFIDENCE.NORM(alpha,StdError,n) | ERROR:#REF! | p-Upper Limit =pbar+CONFIDENCE.NORM(alpha,StdError,n) | ERROR:#REF! | p-Upper Limit =pbar+CONFIDENCE.NORM(alpha,StdError,n) | ERROR:#REF! | |||||||||||||||
| Based upon the count of cheaters, categorized into business and nonbusiness students, place the relevant numbers in the purple area of the table below and note the conclusion. | ||||||||||||||||||||||
| 8. Test of Independence – Is cheating independent of college and athletic participation? | ||||||||||||||||||||||
| Comparing business and nonbusiness students number of cheaters for athletes and nonathletes | ||||||||||||||||||||||
| Ho: all groups cheat at the same rate | ||||||||||||||||||||||
| Ha: there is a difference in cheating based upon college or athletic participation | ||||||||||||||||||||||
| Independent Variable | ||||||||||||||||||||||
| Business | Nonbusiness | Calculations | ||||||||||||||||||||
| Dependent variable | Obs | Exp | Obs | Exp | Total | ERROR:#REF! | ERROR:#REF! | |||||||||||||||
| Athlete | ERROR:#REF! | ERROR:#REF! | ERROR:#REF! | ERROR:#REF! | ERROR:#REF! | ERROR:#REF! | ERROR:#REF! | |||||||||||||||
| Nonathlete | ERROR:#REF! | ERROR:#REF! | ERROR:#REF! | ERROR:#REF! | ERROR:#REF! | |||||||||||||||||
| Total | ERROR:#REF! | ERROR:#REF! | ERROR:#REF! | |||||||||||||||||||
| Chi square test statistic = | ERROR:#REF! | |||||||||||||||||||||
| Level of signicance | 0.05 | |||||||||||||||||||||
| # of rows | 2 | |||||||||||||||||||||
| # of columns | 2 | |||||||||||||||||||||
| df = | 1 | df = (rows – 1)(columns – 1) | ||||||||||||||||||||
| p-factor = | ERROR:#REF! | |||||||||||||||||||||
| Chi square critical | 3.8415 | |||||||||||||||||||||
| Conclusion: | ERROR:#REF! |
Data
| College | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Athlete | Cheated |
| Business | Nonathlete | Cheated |
| Business | Nonathlete | Cheated |
| Business | Nonathlete | Cheated |
| Business | Nonathlete | Cheated |
| Business | Nonathlete | Cheated |
| Business | Nonathlete | Cheated |
| Business | Nonathlete | Cheated |
| Business | Nonathlete | Cheated |
| Business | Nonathlete | Cheated |
| Business | Nonathlete | Cheated |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Athlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Business | Nonathlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Nonathlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Cheated |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Athlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Did Not Cheat |
| Nonbusiness | Nonathlete | Cheated |
| Order a Similar Paper Nonbusiness | Nonathlete | Cheated |
