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## What is Gaussian Distribution Chart?

Usually, a Gaussian Distribution Chart is a graph that represents the normal distribution of a variable, otherwise known as the Normal Distribution Curve or Bell Curve. This distribution can be observed everywhere, for instance if we survey marks from an exam, most of the numbers will be in the middle. The peak point of this curve signifies the mean of the distribution, which is lower on either side. This denotes the probability, which is much lower for the extreme values (i.e. highest or lowest).

The features of the Gaussian Distribution Chart below are:

- 1 standard deviation of a
**mean**is where**68.2%**of the distribution falls. **95.5%**of the distribution lies within the range of the**average**‘s two standard deviations.**99.7%**of the distribution is contained within a range of three standard deviations from the**mean**.

## How to Create a Gaussian Distribution Chart in Excel

To create a Gaussian distribution chart, we’ll use the **AVERAGE****, ****STDEV.P****, **and **NORM.DIST** functions. In general, the **AVERAGE** function returns the average of the numbers it takes as arguments. The **STDEV.P** function also takes a series of numbers as arguments and returns the standard deviations. The **NORM.DIST** function takes a value from a range of data, the mean and standard deviation for the dataset, and a boolean value as its arguments, and returns the normal distribution of the numbers in the range.

### Step 1 – Select Dataset

For the purpose of demonstration, we’ll use the following sample dataset containing information about the **Increase in Sales** of each **Employee **in two consecutive months. We’ll make a Gaussian distribution chart for this increase in sales.

### Step 2 – Calculate Mean and Standard Deviation

- In cell
**D16**enter the following formula to find the**Mean**increase in sales:

`=AVERAGE(C5:C14)`

- Press
**Enter**.

- Similarly, in cell
**D17**enter the formula below to calculate the standard deviation:

`=STDEV.P(C5:C14)`

- Press
**Enter**.

### Step 3 – Determine Normal Distribution

- In cell
**D5**, enter the following formula:

`=NORM.DIST(C5,$D$16,$D$17,FALSE)`

- Press
**Enter**Â and use the**AutoFill**tool to apply the formula to the entire column.

### Step 4 – Create Gaussian Distribution Chart

- Select the range
**D5:D14**. - Click the
**InsertÂ**tab. - Click on the
**Scatter**command from the**Charts**group. - Choose
**Scatter with Smooth Lines**.

### Final Output

The following Gaussian Distribution Chart is returned. After some formatting modifications, the chart looks as follows:.

## Things to Remember

- It is recommended to sort the data before plotting the normal distribution, otherwise an irregular curve may occur.
- Then select the chart to access the
**Chart Element**menu and other chart editing options, and modify the chart according to your personal preference. - The mean and standard deviation of the data must be numeric, else a
**#VALUEÂ**error will be returned. - Take care to enter all the required parentheses in the formulas.
- For the
**DIST**function, the mean and standard deviation must be absolute cell references. - The standard deviation must be greater than zero, or a
**#NUM!Â**error will be returned.

**Download Practice Workbook**

## Related Articles

- How to Make a Cumulative Distribution Graph in Excel
- How to Make a t-Distribution Graph in Excel
- How to Make Cumulative Percentage Polygon in Excel
- How to Create a Percentage Polygon in Excel
- How to Create Grade Distribution Chart in Excel
- Stem and Leaf Plot in Excel: A Robust Tool to Visualize Data

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