# 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:

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.

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