SKEW.P

• How to use SKEW.P formula?
• Examples of using SKEW.P formula
• SKEW.P formula not working?
• Similar formulas to SKEW.P

Usage

Use the SKEW.P formula with the syntax shown below, it has 1 required parameter and 1 optional parameter:

=SKEW.P(value1, value2)

1. value1 (required):
   The first value or range of cells containing values of a dataset.
2. value2 (optional):
   The second value or range of cells containing values of a dataset. This is an optional parameter.

Examples

Checking for skewness in a dataset

You can use SKEW.P to check if a dataset is skewed to the left, right, or is symmetric. For instance, if the skewness is negative, it means the data is skewed to the left (has a long tail to the left) and if it is positive, it means the data is skewed to the right (has a long tail to the right).

Comparing skewness of two datasets

You can use SKEW.P to compare the skewness of two datasets. For example, if the skewness of dataset A is greater than that of dataset B, it means that dataset A is more skewed than dataset B.

Analyzing financial data

In finance, SKEW.P can be used to analyze the distribution of financial data. For example, it can be used to measure the skewness of stock returns, which can help investors to make informed decisions.

Common Mistakes

Using the wrong data type

The SKEW.P function requires numeric data as input. If you provide text, boolean, or empty cells as input, the function will return a #VALUE! error. Make sure to check the data type of your input before using the function.

Using a sample instead of a population

The SKEW.P function assumes that the input values represent a population, not a sample. If you use a sample instead of a population, you may get a biased estimate of the skewness. Use the SKEW function instead if you want to calculate the skewness of a sample.

Related Formulas

The following functions are similar to SKEW.P 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.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.

• 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.

Learn More

You can learn more about the SKEW.P Google Sheets function on Google Support.