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KURT

The KURT function returns the kurtosis of a data set, which is a measure of the peakedness of the distribution. A high kurtosis value indicates a more peaked distribution, while a low kurtosis value indicates a flatter distribution. The function is commonly used in statistical analysis to identify if a data set has a normal distribution or not.

Usage

Use the KURT formula with the syntax shown below, it has 1 required parameter and 1 optional parameter:

=KURT(value1, value2)
Parameters:
  1. value1 (required):
    The first value or range of values to calculate kurtosis for.
  2. value2 (optional):
    Optional additional value or range of values to calculate kurtosis for.

Examples

Here are a few example use cases that explain how to use the KURT formula in Google Sheets.

Identifying non-normal distributions

By using the KURT function, you can determine if a data set has a normal distribution or not. A normal distribution has a kurtosis value of 3, so any value significantly different from 3 indicates a non-normal distribution.

Comparing peakedness of distributions

The KURT function can be used to compare the peakedness of different distributions. A higher kurtosis value indicates a more peaked distribution, while a lower value indicates a flatter distribution.

Analyzing financial data

In finance, the KURT function can be used to analyze the risk of investments. A higher kurtosis value indicates that the returns have a higher probability of being extreme, either positive or negative.

Common Mistakes

KURT not working? Here are some common mistakes people make when using the KURT Google Sheets Formula:

Not providing enough arguments

KURT requires at least 4 arguments to be provided.

Providing non-numeric values

KURT can only be used on numeric values. Providing non-numeric values will result in an error.

Using KURT with a single data point

KURT is intended to be used with a dataset of at least 4 data points. Using it with a single data point will result in an error.

The following functions are similar to KURT or are often used with it in a formula:

  • SKEW

    The SKEW function calculates the skewness of a distribution based on a sample of data. Skewness is a measure of the asymmetry of a distribution around its average value. A positive skewness indicates that the distribution has an asymmetric tail extending towards more positive values, while a negative skewness indicates an asymmetric tail extending towards more negative values. The function can be useful in financial analysis, quality control, and other statistical applications.

  • STDEV

    The STDEV function calculates the standard deviation of a set of numbers. It measures the amount of variation or dispersion of a set of values from the average (mean) value. It is commonly used in statistics to determine the spread of a data set. The values can be supplied as individual cells, ranges, or constants.

  • AVERAGE

    The AVERAGE function calculates the average (arithmetic mean) of the values passed to it. It is commonly used to find the average of a range of cells containing numerical data.

Learn More

You can learn more about the KURT Google Sheets function on Google Support.