Calculate Kurtosis in Excel

Using the KURT Function

Excel's KURT function computes kurtosis for a dataset, indicating its peakedness or flatness compared to a normal distribution. Positive kurtosis values denote a sharper peak, while negative values suggest a flatter shape. The function handles up to 255 inputs, which can be numerical values, names, arrays, or cell references.

Steps for Calculation

To calculate kurtosis in Excel, input your dataset into a column or row. Click on an empty cell where you want the kurtosis value to appear. Type =KURT() and select the range containing your data inside the parentheses. Press Enter to view the result.

Interpreting Kurtosis Values

A kurtosis value greater than zero implies a distribution with a sharper peak than a normal distribution. Conversely, a value less than zero indicates a flatter distribution. The magnitude of the kurtosis value reflects the degree of peakedness or flatness.

Calculating Excess Kurtosis

To find excess kurtosis, which is the kurtosis relative to a normal distribution, subtract 3 from the kurtosis value obtained. A positive excess kurtosis indicates a distribution with more pronounced tails, while a negative value suggests fewer extreme values than a normal distribution.

Common Use Cases

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  Analyzing the peakedness of stock return distributions for financial modeling
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  Assessing the normality of data in psychological research studies
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  Evaluating the tail-heaviness of climate-related data sets
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  Improving quality control by analyzing the shape of production data distributions
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  Conducting statistical data analysis for academic research in economics

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