403.PROC FREQ Says Fraud Is High — Is It Real or a Data Issue? How Do You Validate It?
PROC FREQ Says Fraud Is High — Is It Real or a Data Issue? How Do You Validate It? TABLE OF CONTENTS 1. Introduction 2. Business Context of Online Exam Proctoring 3. Project Objectives and Analytical Scope 4. Dataset Design and Variable Rationale 5. Raw Data Creation with Intentional Data Issue 6. Identification and Explanation of the Data Error 7. Data Correction and Standardization 8. Derived Variables and Date Handling Logic (MDY, INTCK, INTNX) 9. Integrity and Utilization Classification Using SAS Macros 10. Fraud Detection Rules and Flagging Logic (Macros) 11. Descriptive Analytics Using PROC SQL 12. Statistical Summary Using PROC MEANS and PROC UNIVARIATE 13. Categorical Analysis Using PROC FREQ 14. Relationship Analysis Using...