KURT
TheKURT
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.
- How to use
KURT
formula? - Examples of using
KURT
formula KURT
formula not working?- Similar formulas to
KURT
Usage
Use the KURT
formula with the syntax shown below, it has 1 required parameter and 1 optional parameter:
- value1 (required):
The first value or range of values to calculate kurtosis for. - 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 theKURT
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.
Related Formulas
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.