Coefficient of skewness is a very important tool to understand a datasetâ€™s main notion. In which direction is the dataset actually lean in which may lead to various fruitful predictions and insights. In this article, we will discuss 3 suitable methods to calculate** **the coefficient of skewness in Excel in a detailed manner.

**Table of Contents**hide

## Coefficient of Skewness Overview

Skewness represents the degree of asymmetry in a given set of data. In a distribution, when the tail on the left side is longer, you may say that the distribution is negatively skew (left-skew). In this case **Mean **< **Median **< **Mode**. On the contrary, a distribution will be positively skew (right-skew) if the tail on the right side is longer than on the left side.

There are multiple methods of calculating the Skewness coefficient. In this case, **Mean **> **Median **> **Mode**

Among them are Pearsonâ€™s skewness coefficient and General skewness coefficient are notable one.

**Pearsonâ€™s Skewness Coefficient**

There are two different formats of Pearsonâ€™s skewness coefficient,

**Using mode alongside the mean and standard deviation of the dataset.**

The general expression of this formulation is,

Where,

- Sk
_{1 }= Skewness Coefficient Value. - XÂ = Mean of the dataset
- M
_{o }= Mode of the dataset - S = Standard Deviation
**Using median with the mean and standard deviation of the dataset.**

The general expression of this formulation is,

Where,

- Sk
_{1 }= Skewness Coefficient Value. - XÂ = Mean of the dataset
- M
_{d }= Median of the dataset - S = Standard Deviation of the dataset

Apart from Pearsonâ€™s skewness coefficient formula, which is in** the SKEW function** and in the **data analysis toolpak**. The general expression of that formula is,

**Where Coefficient of Skewness is Ineffective**

- Engaging with data that isnâ€™t normally distributed.
- When working with smaller data sets, one should avoid using
**SKEW**because the function can be inaccurate in these circumstances. - Do not use
**the SKEW function**to calculate the standard deviation of the dataset, as this is not the main purpose of this function.

**Read More:Â **How to Calculate Skewness in Excel

## How to Calculate Coefficient of Skewness in Excel: 3 Easy Methods

Here we are going to use the below dataset for the demonstrate how we can determine various types of coefficient of skewness in excel using various methods. In order to avoid any kinds of compatibility issues, try to use the **MS Excel 365** edition.

### 1. Calculate Pearsonâ€™s Skewness in Excel by Using Descriptive Statistics

Pearsonâ€™s coefficient has been a widely used and accepted skewness coefficient formula. Both two separate variations are described and explained in the following examples.

#### 1.1 Use AVERAGE, MODE.SNGL, STDEV.P Functions

In this method, we are going to use the **AVERAGE**, **MODE.****SNGL**, **STDEV.P** functions in order to calculate the coefficient of skewness.

**ðŸ“ŒSteps:**

- Select the cell
**G4**and enter the following formula:

`=AVERAGE(D5:D15)`

- Pressing enter we got the average of the values in the range of cell
**D5:D15**in cell**G4**.

- Select the cell
**G5**and enter the following formula:

`=MODE.SNGL(D5:D15)`

- Pressing enter we got the
**Mode**of the values mentioned in the range of cell**D5:D15**in cell**G5**.

- Select the cell
**G6**and enter the following formula:

`=STDEV.P(D5:D15)`

- Pressing enter we got the
**Standard Deviation**of the values mentioned in the range of cell**D5:D15**in cell**G6**.

- Select the cell and enter the following formula:

`=(G4-G5)/G6`

- Pressing enter we got the average of the values mentioned in the range of cells
**D5:D15**in cell**G7**.

#### 1.2 Apply AVERAGE, MEDIAN, STDEV.P Functions

In this method, we are going to use the **AVERAGE**, **MEDIAN**.**SNGL**, **STDEV.P** functions in order to calculate the coefficient of skewness. The primary difference between the previous method and this one is we are going to use the **Median** instead of the **Mode **in the previous method.

**ðŸ“ŒSteps:**

- Select the cell
**G4**and enter the following formula:

`=AVERAGE(D5:D15)`

- Pressing enter we got the average of the values mentioned in the range of cell
**D5:D15**in cell**G4**.

- Select the cell
**G5**and enter the following formula:

`=MEDIAN(D5:D15)`

- Pressing enter we got the
**Median**of the values mentioned in the range of cell**D5:D15**in cell**G5**.

- Select the cell
**G6**and enter the following formula:

`=STDEV.P(D5:D15)`

- Pressing enter we get the
**Standard Deviation**of the values in the range of cell**D5:D15**in cell**G6**.

- Select the cell
**G7**and enter the following formula:

`=3*((G4-G5)/G6)`

- Pressing enter we got the
**Skewness of Coefficient**of the values in the range of cell**D5:D15**in cell**G7**.

### 2. Insert Excel SKEW Function to Estimate Skewness Coefficient

In addition, you can apply **the SKEW function** to find the skewness of the **Maths **Score.

**ðŸ“ŒSteps:**

- Below are the data of students with their id and their scores in
**Math**. - In the cell
**G5**, we need to estimate the skewness of this dataset,

- For this, select cell
**G5**and enter the following formula and press**Enter**:

`=SKEW(D5:D15)`

- After pressing
**Enter,**you will notice that the coefficient of skewness of the range of cells**D5:D15**is now showing at cell**F5**.

**Read More:** How to Calculate Kurtosis in Excel

### 3. Apply Data Analysis Toolpak to Get Coefficient of Skewness

To calculate the coefficient of skewness using the **Data Analysis **feature please do the following steps.

**ðŸ“ŒSteps:**

- We have the studentâ€™s marks with their id information in the below dataset.
- The coefficient of skewness of those marks needs to be determined.

** **

- First, enable the Data Analysis feature if you donâ€™t find it in the
**Data**tab. - Then, click on the added
**Data Analysis**feature from**Data**>**Analyze**.

- A new window will open, and from there select
**Descriptive Statistics**. - Click
**OK**after this.

- In the next window. Select cell
**D4:D15**in the**Input Range**range box. - Then select
**Columns**in the**Grouped By**option. - Tick the
**Labels in first row**check box. - After that, set the
**Output Range**as the**F4**. - Furthermore, check both the
**Summary Statistics**and**Confidence Level for Mean**box.

- After that, click
**OK**. - Lastly, after clicking
**OK**. you will notice that the**Skewness Coefficient**value is now present in cell**G13**.

**Read More:** How to Create Graph of Skewness and Kurtosis in Excel

**Download Practice Workbook**

Download this practice sheet to practice while you are reading this article.

## Conclusion

I hope all of these simple methods mentioned above will now help you to apply them in your Excel spreadsheets when you have to calculate the coefficient of skewness. Additionally, for this problem, a workbook is available to download where you can practice these methods. Feel free to ask any questions or feedback through the comment section.