How to Use the SKEW Function in Excel

The SKEW function in Excel and Google Sheets is employed to determine the skewness of a distribution. Skewness quantifies the asymmetry of a distribution around its mean. A distribution with a positive skewness indicates that the data is skewed towards the right, with a long tail on the right side, whereas a negative skewness suggests a leftward skew, characterized by a long tail on the left.

Excel and Google Sheets SKEW Function Syntax

The syntax for the SKEW function is consistent across both Excel and Google Sheets:

SKEW(number1, [number2], ...)
  • number1, number2, etc., are the arguments that represent the values of the dataset you wish to analyze for skewness.
  • You must provide at least one numerical argument, and you can include up to 255 numbers or cell references in your dataset.

Example 1: Calculate Skewness in Excel and Google Sheets

Consider a dataset represented in cells A1 to A6 in Excel or Google Sheets:

Data
A1 10
A2 15
A3 20
A4 25
A5 30
A6 35

To calculate the skewness of this dataset, enter the following formula into any empty cell:

=SKEW(A1:A6)

The formula returns the skewness value of the dataset, providing insight into whether the data is right-skewed, left-skewed, or symmetrically distributed around the mean.

Example 2: Skewness in Excel and Google Sheets with Negative Skew

Consider another dataset that is skewed to the left. Populate cells B1 to B6 with the following numbers:

Data
B1 30
B2 25
B3 20
B4 15
B5 10
B6 5

To compute the skewness, use the SKEW function with this dataset as follows:

=SKEW(B1:B6)

The formula yields a negative value, confirming the leftward skew of the data.

Employing the SKEW function in Excel and Google Sheets enables you to efficiently assess the skewness of your datasets, enhancing your understanding of data distribution characteristics.

More information: https://support.microsoft.com/en-us/office/skew-function-bdf49d86-b1ef-4804-a046-28eaea69c9fa

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Returns the average of the absolute deviations of data points from their mean
Returns the average of its arguments
Returns the average of its arguments, including numbers, text, and logical values
Returns the average (arithmetic mean) of all the cells in a range that meet a given criteria
Returns the average (arithmetic mean) of all cells that meet multiple criteria
Returns the beta cumulative distribution function
Returns the inverse of the cumulative distribution function for a specified beta distribution
Returns the individual term binomial distribution probability
Returns the probability of a trial result using a binomial distribution
Returns the smallest value for which the cumulative binomial distribution is less than or equal to a criterion value
Returns the cumulative beta probability density function
Returns the one-tailed probability of the chi-squared distribution
Returns the cumulative beta probability density function
Returns the inverse of the one-tailed probability of the chi-squared distribution
Returns the test for independence
Returns the confidence interval for a population mean
Returns the confidence interval for a population mean, using a Student's t distribution
Returns the correlation coefficient between two data sets
Counts how many numbers are in the list of arguments
Counts how many values are in the list of arguments
Counts the number of blank cells within a range
Counts the number of cells within a range that meet the given criteria
Counts the number of cells within a range that meet multiple criteria
Returns covariance, the average of the products of paired deviations
Returns the sample covariance, the average of the products deviations for each data point pair in two data sets
Returns the sum of squares of deviations
Returns the exponential distribution
Returns the F probability distribution
Returns the F probability distribution
Returns the inverse of the F probability distribution
Returns the inverse of the F probability distribution
Returns the result of an F-test
Returns the inverse of the F probability distribution
Returns the Fisher transformation
Returns the inverse of the Fisher transformation
Returns a value along a linear trend
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Returns the length of the repetitive pattern Excel detects for the specified time series
Returns a statistical value as a result of time series forecasting
Returns a future value based on existing values
Returns a frequency distribution as a vertical array
Returns the Gamma function value
Returns the gamma distribution
Returns the inverse of the gamma cumulative distribution
Returns the natural logarithm of the gamma function, Γ(x)
Returns the natural logarithm of the gamma function, Γ(x)
Returns 05 less than the standard normal cumulative distribution
Returns the geometric mean
Returns values along an exponential trend
Returns the harmonic mean
Returns the hypergeometric distribution
Returns the intercept of the linear regression line
Returns the kurtosis of a data set
Returns the k-th largest value in a data set
Returns the parameters of a linear trend
Returns the parameters of an exponential trend
Returns the cumulative lognormal distribution
Returns the inverse of the lognormal cumulative distribution
Returns the maximum value in a list of arguments
Returns the maximum value in a list of arguments, including numbers, text, and logical values
Returns the maximum value among cells specified by a given set of conditions or criteria
Returns the median of the given numbers
Returns the minimum value in a list of arguments
Returns the smallest value in a list of arguments, including numbers, text, and logical values
Returns the minimum value among cells specified by a given set of conditions or criteria
Returns a vertical array of the most frequently occurring, or repetitive values in an array or range of data
Returns the most common value in a data set
Returns the negative binomial distribution
Returns the normal cumulative distribution
Returns the standard normal cumulative distribution
Returns the inverse of the standard normal cumulative distribution
Returns the inverse of the normal cumulative distribution
Returns the Pearson product moment correlation coefficient
Returns the k-th percentile of values in a range, where k is in the range 01, exclusive
Returns the k-th percentile of values in a range
Returns the rank of a value in a data set as a percentage (01, exclusive) of the data set
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Returns the number of permutations for a given number of objects
Returns the number of permutations for a given number of objects (with repetitions) that can be selected from the total objects
Returns the value of the density function for a standard normal distribution
Returns the Poisson distribution
Returns the probability that values in a range are between two limits
Returns the quartile of the data set, based on percentile values from 01, exclusive
Returns the quartile of a data set
Returns the rank of a number in a list of numbers
Returns the rank of a number in a list of numbers
Returns the square of the Pearson product moment correlation coefficient
Returns the skewness of a distribution based on a population: a characterization of the degree of asymmetry of a distribution around its mean
Returns the slope of the linear regression line
Returns the k-th smallest value in a data set
Returns a normalized value
Calculates standard deviation based on the entire population
Estimates standard deviation based on a sample
Estimates standard deviation based on a sample, including numbers, text, and logical values
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Returns the Percentage Points (probability) for the Student t-distribution
Returns the Student's t-distribution
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Returns the inverse of the Student's t-distribution
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Calculates variance based on the entire population
Estimates variance based on a sample
Estimates variance based on a sample, including numbers, text, and logical values
Calculates variance based on the entire population, including numbers, text, and logical values
Returns the Weibull distribution
Returns the one-tailed probability-value of a z-test