Section G: Analytics for Fraud, Waste and Abuse
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Statistical Data Analytics In Excel – Section G: Analytics for Fraud, Waste and Abuse
Your online training lesson should be visible on the page below when it is loaded. Please note that this lesson is accessible for 30 days after purchase. If you encounter any issues with the [...]
Statistical Data Analytics In Excel – Section G: Analytics for Fraud, Waste and Abuse
Learn what the research shows about how fraud is found, and perform case studies demonstrating how regression can be used as an advanced analytical tool to perform gap analysis, to reconstruct [...]
Statistical Data Analytics In Excel – Section F: Curve Linear Regression
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Statistical Data Analytics in Excel – Section F: Curve Linear Regression
Let’s address another complexity that can occur when you run regression in the real world – not all data is linear. Learn how to run regression where relationships in your data are non-linear. [...]
Statistical Data Analytics in Excel – Section E: Noise Due to Data Sub-Populations and Lagging
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Statistical Data Analytics in Excel – Section E: Noise Due to Data Sub-Populations and Lagging
Let’s address some common complexities that occur when you run regression in the real world. Reality is that you don’t always get a nice, neat looking analysis. Learn how to identify and address [...]
Statistical Data Analytics In Excel – Section D: Setting Bounds (Constructing Prediction Intervals) for Regression
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Statistical Data Analytics in Excel – Section D: Setting Bounds (Constructing Prediction Intervals) for Regression
Now that you know how to run regression in an audit context, learn how to build statistical bounds and add benchmarks to your analysis. Why do this? Eliminate the need for judgment calls or grey [...]
Statistical Data Analytics – Section C: Simple Linear Regression
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