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Create a Bell Curve in Excel

Summarized by Plex Health
Last Updated: 17 April 2022

This tutorial teaches you how to make a bell curve in Excel for a given mean and standard deviation, as well as a free printable template that you can use to create your own bell curve in Excel. To make a bell curve in Excel, use the following steps. Highlight all of the values in the pdf column in the Insert tab; highlight all of the values in the first row in the Insert Line or Area Chart category: Right click anywhere on the chart and select Data. For example, here's what the bell curve turns into if we use mean=10 and standard deviation = 2: For example, feel free to change the chart title, add axis labels, and change the color if you want to make the chart more aesthetically appealing. Feel free to download this free template that was used to create the exact bell curve in this lesson. Students getting higher marks on the right side of the curve are on the right side of the curve, while students receiving poor marks are on the left of the curve. Now to figure out the bell curve, you need to know about two parameters: Mean, the mean value of all the data points Standard Deviation, and it shows how much the dataset differs from the mean of the experiment. If you have a database that is not normally published, your bell curve will follow the following guidelines: The bell curve's center is the center of the data point. The majority of the total data points are located in the range 99. 7% to 95% of the total points lie in the range. Now let's see how to make a bell curve in Excel. Note that if you have a small standard deviation, you get a packed slim bell curve, and when you have a high standard deviation, the bell curve is wider and covers more area on the chart. This sort of bell curve can be used to determine where a data point appears in the graph. A quick note: to calculate the average of the exam scores in the database, you will need to round up the formula output more often than not. In our case, the x-axis values would be used to represent a particular exam result, while the y-axis values would show us the likelihood of a student getting that score on the exam.

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