# QUARTILE.INC

The `QUARTILE.INC` function calculates the quartile of a dataset, which is a measure of statistical dispersion. It is commonly used to split a dataset into four equal parts, each containing 25% of the data points. The function takes in two parameters - the dataset as `data` and the quartile number as `quartile_number` - and returns the value of the specified quartile. Quartile numbers are specified as follows: 1 for the first quartile (25th percentile), 2 for the second quartile (50th percentile, or median), and 3 for the third quartile (75th percentile).

## Usage

Use the `QUARTILE.INC` formula with the syntax shown below, it has 2 required parameters:

Parameters:
1. data (required):
The range or array of data points for which to calculate the quartile.
2. quartile_number (required):
The quartile number to calculate. Must be a number between 1 and 3.

## Examples

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

### Calculating the median

The `QUARTILE.INC` function can be used to calculate the median of a dataset by specifying the quartile number as 2.

### Calculating the interquartile range

The interquartile range is a measure of statistical dispersion that is defined as the difference between the third and first quartiles. The `QUARTILE.INC` function can be used to calculate both quartiles, allowing for the interquartile range to be easily determined.

### Identifying outliers

Outliers are data points that fall outside of the expected range of values in a dataset. By calculating the quartiles of a dataset using the `QUARTILE.INC` function, it is possible to identify potential outliers by examining data points that fall outside of the expected range.

## Common Mistakes

`QUARTILE.INC` not working? Here are some common mistakes people make when using the `QUARTILE.INC` Google Sheets Formula:

### Not providing enough data

The `data` parameter must contain at least 4 values. If you provide less than 4 values, the function will return an error.

### Providing non-numeric data

The `data` parameter must contain only numeric data. If you provide non-numeric data, the function will return an error.

The following functions are similar to `QUARTILE.INC` or are often used with it in a formula:

• `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.

• `MEDIAN`

The `MEDIAN` function returns the median (middle) value of a set of numbers. It is commonly used to find the middle value in a range of data points. If the number of data points is even, it returns the average of the two middle values. This function can be useful in statistical analysis and data visualization.

• `STDEV.P`

The `STDEV.P` function is a statistical function that calculates the standard deviation of a population based on a sample of numerical data. It is commonly used to measure the amount of variation or dispersion in a dataset. The formula assumes that the input values represent the entire population, rather than a sample. If the input values represent a sample, you should use the `STDEV.S` function instead.

• `VAR.P`

The `VAR.P` function returns the variance of its arguments, which is a measure of the spread of a dataset in statistics. Unlike the `VAR` function, `VAR.P` function considers all the values in the dataset when calculating its variance, not just a sample of them. The function is commonly used to analyze the variability of a dataset and determine how much the data points deviate from the mean.

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