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Forensic Certification (Level-I)

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Module 12: Forensic Data Analytics: Statistics

12.1 Basics of Statistics 13 Topics

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12.1.1 Introduction to Business Statistics – Part I

12.1.2 Introduction to Business Statistics – Part II

12.1.3 Measurement and Scaling

12.1.4 Tabular and Graphical Displays – Part I

12.1.5 Tabular and Graphical Displays – Part II

12.1.6 Tabular and Graphical Displays – Part III

12.1.7 Case Studies- Graphical Presentation

12.1.8 Numerical Descriptive Measures- Part I

12.1.9 Numerical Descriptive Measures- Part II

12.1.10 Numerical Descriptive Measures- Part III

12.1.11 Numerical Descriptive Measures- Part IV

12.1.12 Numerical Descriptive Measures- Part V

12.1.13 Case Studies – Numerical Descriptive Measures

12.2 Probability Distributions 6 Topics

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12.2.1 Some Important Discrete Probability Distributions

12.2.2 Case Studies – Discrete Probability Distributions

12.2.3 Binomial Distribution

12.2.4 Case Studies – Binomial Distribution

12.2.5 Poisson Distribution

12.2.6 Case Studies – Poisson Distribution

12.3 Continuous Probability Distribution 4 Topics

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12.3.1 The Normal Distribution – Part I

12.3.2 The Normal Distribution – Part II

12.3.3 The Normal Distribution – Part III

12.3.4 Case studies Normal Distribution

12.4 Fundamentals of Hypothesis Testing 7 Topics

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12.4.1 Fundamentals of Hypothesis Testing One-Sample Tests – Part I

12.4.2 Fundamentals of Hypothesis Testing One-Sample Tests – Part II

12.4.3 Fundamentals of Hypothesis Testing One-Sample Tests – Part III

12.4.4 Fundamentals of Hypothesis Testing One-Sample Tests – Part IV

12.4.5 Case study T-Test for the Mean

12.4.6 Case study Z-Test for the Proportion

12.4.7 Case study Z-Test for the Mean

12.5 Fraud Detection Models 5 Topics

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12.5.1 Benford’s Law – Part I

12.5.2 Benford’s Law – Part II

12.5.3 Beneish Model – M Score- Part I

12.5.4 Beneish Model – M Score- Part II

12.5.5 Altman’s Z Score

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