## How do you use SKEW in Google Sheets?

SKEW is a function in Google Sheets that is used to calculate the skewness of a set of data. Skewness is a measure of the asymmetry of a distribution, and can be used to identify whether a set of data is symmetrical or not. The SKEW function takes a set of data as input, and calculates the skewness of that data. The function returns a number between -1 and 1, with -1 indicating a left-skewed distribution, 0 indicating a symmetrical distribution, and 1 indicating a right-skewed distribution.

The SKEW function can be used to identify potential outliers in a set of data. If the skewness of a set of data is significantly different from 0, then there may be outliers in the data. The SKEW function can also be used to determine the shape of a distribution. If the skewness of a set of data is close to 0, then the distribution is likely symmetrical. If the skewness of a set of data is close to -1 or 1, then the distribution is likely skewed.

## What is the syntax of SKEW in Google Sheets?

The syntax of SKEW in Google Sheets is as follows: SKEW(number1,number2)number1 is the first number in the list.number2 is the second number in the list.SKEW returns the skewness of the list.

## What is an example of how to use SKEW in Google Sheets?

The SKEW function in Google Sheets is used to calculate the skewness of a set of data. This function is used to measure the degree of asymmetry in a distribution. The skewness value is a number between -1 and 1. A skewness value of 0 indicates that the data is symmetrical. A skewness value of negative 1 indicates that the data is skewed to the left, and a skewness value of positive 1 indicates that the data is skewed to the right. To use the SKEW function in Google Sheets, you will need to input the data that you want to calculate the skewness of and the function will automatically calculate the skewness value.

## When should you not use SKEW in Google Sheets?

There are a few instances in which you should not use SKEW in Google Sheets. First, if your data is not normally distributed, you should not use SKEW. Additionally, if you are looking for the standard deviation of your data, you should not use SKEW. Finally, if you are looking for the Pearson correlation coefficient of your data, you should not use SKEW.

## What are some similar formulae to SKEW in Google Sheets?

There is no direct analogue to SKEW in Google Sheets, but there are a few similar formulae that can be used to calculate statistical properties of data sets. The AVERAGE, VAR, and STDEV functions can all be used to calculate the average, variance, and standard deviation of a data set, and the COUNT function can be used to count the number of data points in a set. Additionally, the FREQUENCY function can be used to calculate the frequency of different values in a data set.