## How to create a bell curve chart template in Excel?

Bell curve chart, named as normal probability distributions in Statistics, is usually made to show the probable events, and the top of the bell curve indicates the most probable event. In this article, I will guide you to create a bell curve chart with your own data, and save the workbook as a template in Excel.

#### Create a bell curve chart and save as a chart template in Excel

To create a bell chart with your own data, and then save it as an Excel template, you can do as following:

1. Create a blank workbook, and enter the column header In Range A1:D1 as following screen shot shows:

2. Enter your data into the Data column, and sort the data by clicking by clicking Data > Sort.
In our case, we enter from 10 to 100 into Rang A2:A92 in the Data Column.

3. Calculate the data as follows:

(1) In Cell C2, please type in below formula to calculate the average:

=AVERAGE(A2:A92)

(2) In Cell D2, please enter below formula to calculate the standard deviation:

=STDEV(A2:A92)

(3) In Cell B2, please type in one of below formulas, and drag the AutoFill Handle to the Range A3:A92.

 A. In Excel 2010 or later versions: =NORM.DIST(A2,\$C\$2,\$D\$2,FALSE) B. In Excel 2007: =NORMDIST(A2,\$C\$2,\$D\$2,FALSE))

Note: The A2:A92 is the range we enter our data, and please change the A2:A92 to the range with your data.

4. Select the Range A2:B92 (Data column and Distribution column) ，and click the Insert > Scatter ( or Scatter and Doughnut chart in Excel 2013) > Scatter with Smooth Lines and Markers.

Then a bell curve chart is created showing as following screen shot.

You can format the bell curve by removing legends, axis, and gridlines in the bell curve chart.

And now you can save the created bell curve chart as a normal chart template in Excel with following steps:

5. Save the bell curve chart as a chart template:
A. In Excel 2013 or later versions, right click the bell curve chart, and select the Save as Template from the right-clicking menu;
B. In Excel 2007 and 2010, click the bell curve chart to activate the Chart Tools, and then click the Design > Save As Template.

6. In the popping up Save Chart Template dialog box, enter a name for your template in the File name box, and click the Save button.

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#### Quickly create a bell curve with an amazing tool

In this method, I will introduce the Normal Distribution / Bell Curve feature of Kutools for Excel. This feature will help you easily create a bell curve chart with only two clicks. In addition, this feature also supports to create a frequency histogram chart, and a combo chart of bell curve and frequency histogram as well.

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1. Select the data range you will create a bell curve based on, and click Kutools > Charts > Normal Distribution / Bell Curve. See screenshot:

2. In the opening dialog, check the Normal distribution chart option in the Select section, and click the OK Button. See screenshot:

Tips:
(1) It’s optional to type in the Chart title in the Chart title box;
(2) If you need to create a frequency histogram chart, please check the Frequency histogram chart option only in the Select section; for a combo chart of bell curve and frequency histogram, please check both options in the Select section.

If you only check the Normal Distribution chart option:

If you check both Normal Distribution chart and Frequency histogram chart options:

#### Save created bell curve chart as AutoText entry for easy reusing with only one click

In addition to saving the created Bell Curve chart as a chart template for reusing in future, Kutools for Excel's AutoText utility supports Excel users to save created chart as an AutoText entry and reuse the AutoText of chart at any time in any workbook with only one click. Get it now!

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This comment was minimized by the moderator on the site
Conoscendo la media e l’intervallo di tempo (Valori asse x) è possibile ottenere i valori y sapendo che questi dovranno seguire una distribuzione a campana??
Grazie
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Thank you long life for generous scholars!!!
This comment was minimized by the moderator on the site
The normal excel method without Kurtosis DOES NOT WORK, this is the fifth page I've visited and I NEVER get a bell shaped curve.
This comment was minimized by the moderator on the site
Hi lan,
If you want to create a bell curve chart with the first method (insert a scatter with smooth line and markers chart), you’d better prepare enough data points. Otherwise, it will create a normal scatter chart only.
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I followed the instructions above but ended up with a graph which wasn't in a normal distribution. What can I do to make this normally distributed?
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Good explanation loved it!
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Hi, I have query on NORM.DIST Function in Excel. For probability mass function (False case) contains formula and result is generated. For cumulative (True case) in excel which formula is using to generate the result? For True, it is mentioned as integral of probability mass function formula.
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I think I'm missing something in the instructions for how to make a bell curve chart. In step 4 the formula creates, in cellB2, a normal distribution for the range of my data in column A. However there is no data in B3 through B93, yet the scatter chart seems to require data in cells B3 through B93. How is that data produced? Any suggestions would be appreciated.
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copy the formula in B2 and paste it in cells B3:B9
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Good stuff, much better than some other site I was trying to follow. But, in Excel 2016 at least, you don't need to sort your data for the graph to show properly, its nice to be able to save a step or not have to worry about it if your data might change, extend, or be in a certain order for a reason (e.g. data entry ease). Also, because you made this so easy to follow, I was able to figure out how to add a second set of data (with its own average, standard deviation, and norm.dist values) to the same graph, it makes my graph more interesting. I think it would be cool if you expanded your base example into an advanced example like that. Again, good stuff.
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Can any set of data be made to look like a Bell curve this way?? What if the Kurtosis of the data was not within +/- 3 for a Normal Distribution?
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Clear example -- a lifesaver!
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