Calculate the kurtosis of a data set.

`KURT(number1, [number2], ...)`

- number1, number2, ... - 1 to 30 numbers or column references that contain data

`=KURT(A2:A11)`

The KURT function in Sourcetable can be used to calculate the kurtosis of a data set. KURT is an abbreviation for "Kurtosis", which is a measure of the peakedness of a distribution. This will return the kurtosis of the data set.

`=KURT(A2:A11)`

KURT can also be used to compare two different data sets. For example, if you have two different sets of data, you can use KURT to calculate the kurtosis of each data set and then compare the results.

`=KURT(B2:B11)`

The result of this KURT call will tell you the kurtosis of the second data set.

Kurtosis is a statistical measure that determines the peakedness or flatness of a data distribution compared to a normal distribution. The KURT function calculates this measure, which is positive when the distribution is relatively peaked.

- Kurtosis measures the peakedness or flatness of a distribution compared to the normal distribution, with positive kurtosis indicating a relatively peaked distribution.

The KURT function is a statistical measure used to calculate the kurtosis of a data set. Kurtosis measures the peakedness or flatness of a distribution compared to the normal distribution.

Kurtosis measures the peakedness or flatness of a distribution compared to the normal distribution.

A positive kurtosis indicates that the distribution is relatively peaked.

- Income data
- Stock market data
- Exam scores
- Weather data
- Population data