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Descriptive Statistics for Grouped (Weighted) Data
Excel has a powerful set of tools to perform statistical analysis, but they apply only to ungrouped data. This review compiles the formulas to perform statistical calculations for grouped data. They cover the same (and even wider) scope as Excel’s native statistical functions.
| Accounting, All Industries, Financial Model, General Excel Financial Models |
| Excel, Financial Reporting, Free Financial Model Templates, Stress Test |
Excel has a powerful set of tools to perform statistical analysis, but they apply only to ungrouped data. As an example, the AVERAGE function calculates a simple average of ungrouped numbers, but calculating a weighted average requires a different approach.
This Excel publication compiles the formulas to perform statistical calculations for grouped data. They cover the same (and even wider) scope as Excel’s native statistical functions.
The file explains calculations for:
– single-array data (average, median, variance, standard deviation, percentiles, skewness, kurtosis)
– dual-array data (covariance, correlation, standard error, linear trend).
I have also given an overview of the basics of statistics and how it applies to financial analysis and included a method to assign weights to your numbers depending on their relevance to your benchmarks. So welcome to the exciting world of statistics! Do let me know your thoughts and suggestions.
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