### Method 1 – Histogram with Bell Curve for Student Marks

**Steps**

- Enable the
**Data Analysis Tool**. - Go to the
**File**tab in the ribbon. - Select the
**MoreÂ**command. - In the
**More**command, select**Options**.

- An
**Excel Options**dialog box will appear. - Click on
**Add-ins**. - Click on
**Go**.

- From the
**Add-ins**available section, select**Analysis Toolpak**. - Click
**OK**.

- To use the
**Data Analysis Tool**, you need to have a**Bin**range. - We set a bin range by studying our datasetâ€™s lowest and highest values.
- We take intervals of
**5**.

** **

- Go to the
**Data**tab in the ribbon. - Select
**Data Analysis**from the**AnalysisÂ**group.

- A
**Data Analysis**dialog box will appear. - From the
**Analysis Tools**section, select**Histogram**. - Click
**OK**.

- In the
**Histogram**dialog box, select the**Input Range**. - Take the Marks column as the
**Input Range**from cell**C5**to cell**C20**. - Select the
**Bin Range**that we created above. - Set the
**Output options**in the current worksheet. - Click on
**OK**.

** **

- It will give us the following output, which shows the bin we assigned previously and the frequency of distribution of our dataset. Bin 65 has 1 frequency, which means that from 60 to 65, they have found one mark of a particular student.

- To have a better chart, we need to add a new column and name it the midpoint of the bin instead of the endpoint of that bin.
- In the new column, write down the following formula.

`=I5-2.5`

- Press
**Enter**to apply the formula.

- Drag the
**Fill Handle**icon down the column.

- Select the range of cells
**J5**to**K11**.

- Go to the
**Inser**t tab in the ribbon. - From the
**Charts**group, select**Scatter Chart**. See the screenshot.

- From the Scatter chart, select the
**Scatter with Smooth Lines and Markers**.

- It will give us the following chart using our dataset.

- To make the curve bigger and take it to the center, we need to adjust the x-axis.
- Double-click on the x-axis to open the
**Format Axis**dialog box. - After that, select the bar icon.
- Change the
**Minimum**and**Maximum**values. This range is basically by studying the dataset.

- We get a bigger and center shape curve. See the screenshot.

- You select the chart, a
**Chart Design**will appear. - Select the
**Chart Design**. - From the
**Chart Layouts**, select**Add Chart Element**.

- In the
**Add Chart Element**option, select**Error Bars**. - From the
**Error Bars**, select**More Error Bars Options**.

- A
**Format Error**Bars dialog box will appear. - In the
**Vertical Error Bar**section, select direction**Minus**. - Set
**End Style**as**No Cap**. - In the
**Error Amount**section, set the**Percentage**to 100%.

- It will represent the curve in the following way; see the screenshot.

- See the line in every bin, we need to change the line into a bar.
- Again go to the
**Format Error Bars**. - Change the Here, we take the width as
**40**.

- It will shape the curve in the following way. See the screenshot.

- Now we need to remove the curve because we have to draw the bell curve here.
- To delete the curve, click on the curve.
- A
**Format Data Series**dialog box will appear. - In the
**Line**section, select**No line**.

- Go to the
**MarkerÂ**section. - In the
**Marker**options, select**None.**

- All the lines and markers are gone. But there are some endpoints also in there.
- To remove them, click on them.
- Right-click to open the
**Context Menu**. - Select
**Delete**to remove all the endpoints.

- We get the desired histogram from our dataset.

- We turn our focus to the bell curve.
- Before plotting the bell curve, we need to calculate the
**Mean**,**Standard Deviation**, and the**Normal Distribution**. - We need to find the
**Mean**value of the student marks using**the AVERAGE function**. - Select cell
**F14**.

- Write the following formula in the formula box.

`=AVERAGE(C5:C20)`

- Press
**Enter**to apply the formula.

- We need to calculate the standard deviation using the
**STDEV.P**function - First, select cell
**F15**.

- Write down the following formula in the formula box.

`=STDEV.P(C5:C20)`

- Press
**Enter**to apply the formula.

- Calculate the normal distribution to establish the bell curve.
- We take some values from 60 to 85. This value is taken by studying the histogram properly.
- Find the normal distribution for the corresponding values.
- Determine the regular distribution by using
**the NORM.DIST function**. - Select cell
**C26**.

- Write down the following formula in the formula box. We need to scale the normal distribution in terms of the histogram graph. Thatâ€™s why we use 97.

`=NORM.DIST(B26,$F$14,$F$15,FALSE)*97`

- Press
**Enter**to apply the formula.

- Drag the
**Fill Handle**icon down the column.

- Add the bell curve to the histogram curve.
- Select the histogram chart that was made previously. It will open up the
**Chart DesignÂ**option. - From the
**Data**group, click on**Select Data**.

- A
**Select Data Source**dialog box will appear. - Select
**Add**to insert new series.

- In the Edit Series dialog box, select X and Y values range of cells.
- In the Y series, we set the normal distribution, in the X series, we set the values.
- Click
**OK**.

- Add as
**Series 2**in the Select Data Source dialog box. - Click
**OK**.

- Go to the
**Chart Design**and Select**Change Chart Type**from the**TypeÂ**group.

- Select the
**Scatter**type chart. See the screenshot. - Click
**OK**.

- It will give the bell curve along with the histogram. The curve line is in dotted format.
- We need to make it a solid line.

- Double-click the dotted curve, and the
**Format Data Series**dialog box will appear. - In the
**Line**section, select**Solid line**. - Change the
**Color**.

- We have our final histogram result with a bell curve for student marks.

### Method 2 – Histogram with Bell Curve for Project Completion

**Steps**

- To create a histogram, you need to use
**Data Analysis Tool**. - Use the
**Data Analysis Tool**, you need to have a**Bin range**. - We set a bin range by studying our datasetâ€™s lowest and highest values.
- We take intervalÂ
**5**.

** **

- Go to the
**Data**tab in the ribbon. - Select
**Data Analysis**from the**AnalysisÂ**group.

- A
**Data Analysis**dialog box will appear. - From the
**Analysis Tools**section, select**Histogram**. - Click
**OK**.

- In the
**Histogram**dialog box, select the**Input Range**. - Take the Marks column as
**the Input Range**from cell**D5**to cell**D24**. - Select the
**Bin Range**that we created above. - Set the
**Output options**in the current worksheet. - Click
**OK**.

** **

- It will give us the following output, which shows the bin we assigned previously and the frequency of distribution of our dataset. Bin 15 has 1 frequency, which means that from 10 to 15, they have found one mark of a particular student.

- Have a better chart, we need to add a new column and name it the midpoint of the bin instead of the endpoint of that bin.
- In the new column, write down the following formula.

`=I5-2.5`

- Press
**Enter**to apply the formula.

- Drag the
**Fill Handle**icon down the column.

- Select the range of cells
**J5**to**K12**.

- Go to the
**Inser**t tab in the ribbon. - From the
**Charts**group, select**Scatter Chart**. See the screenshot.

- From the Scatter chart, select the
**Scatter with Smooth Lines and Markers**.

- It will give us the following chart using our dataset.

- Select the chart, a
**Chart Design**will appear. - Select the
**Chart Design**. - From the
**Chart Layouts**, select**Add Chart Element**.

- In the
**Add Chart Element**option, select**Error Bars**. - From the
**Error Bars**, select**More Error Bars Options**.

- A
**Format Error**Bars dialog box will appear. - In the
**Vertical Error Bar**section, select direction**Minus**. - After that, set
**End Style**as**No Cap**. - In the
**Error Amount**section, set the**Percentage**to 100%.

- It will represent the curve in the following way; see the screenshot.

- As you can see the line in every bin, we need to change the line into a bar.
- Go to the
**Format Error Bars**. - Change the Here, we take the width as
**30**.

- It will shape the curve in the following way. See the screenshot.

- Now we need to remove the curve because we have to draw the bell curve here.
- To delete the curve, click on the curve.
- A
**Format Data Series**dialog box will appear. - In the
**Line**section, select**No line**.

- Go to the
**MarkerÂ**option. - In the
**Marker**options, select**None.**

- All the lines and markers are gone. But there are some endpoints also in there.
- To remove them, click on them.
- Right-click to open the
**Context Menu**. - Select
**Delete**to remove all the endpoints.

- We get the desired histogram from our dataset.

- We turn our focus to the bell curve.
- Before plotting the bell curve, we need to calculate the
**Mean**,**Standard Deviation**, and the**Normal Distribution**. - We need to find the
**Mean**value of the student marks using**the AVERAGE function**. - Cell
**G16**.

- Write the following formula in the formula box.

`=AVERAGE(D5:D24)`

- Press
**Enter**to apply the formula.

- Calculate the standard deviation using
**the STDEV.P function**. - Select cell
**G17**.

- Write down the following formula in the formula box.

`=STDEV.P(D5:D24)`

- Press
**Enter**to apply the formula.

- Calculate the normal distribution to establish the bell curve.
- We take some values from 11 to 40. This value is taken by studying the histogram properly.
- Find the normal distribution for the corresponding values.
- Determine the regular distribution by using
**the NORM.DIST function**. - Select cell
**C28**.

- Write down the following formula in the formula box. We need to scale the normal distribution in terms of the histogram graph. Thatâ€™s why we use 122.

`=NORM.DIST(B28,$G$16,$G$17,FALSE)*122`

- Press
**Enter**to apply the formula.

- Drag the
**Fill Handle**icon down the column.

- Add the bell curve to the histogram curve.
- Select the histogram chart that was made previously. It will open up the
**Chart Design** - Fom the
**Data**group, click on**Select Data**.

- A
**Select Data Source**dialog box will appear. - Select
**Add**to insert new series.

- In the Edit Series dialog box, select X and Y values range of cells.
- In the Y series, we set the normal distribution, in the X series, we set the values.
- Click on
**OK**.

- Add as
**Series 2**in the Select Data Source dialog box. - Click
**OK**.

- Go to the
**Chart Design**and Select**Change Chart Type**from the**TypeÂ**group.

- Select the
**Scatter**type chart. See the screenshot - Click
**OK**.

- It will give the bell curve along with the histogram. The curve line is in dotted format.
- We need to make it as a solid line.

- Double-click the dotted curve, and the
**Format Data Series**dialog box will appear. - In the
**Line**section, select**Solid line**. - Change the
**Color**.

- We have our final histogram result with a bell curve for student marks.

Download the Practice workbook.

## Related Articles

- How to Plot Cumulative Histogram in Excel
- How to Create Probability Histogram in Excel
- How to Add Vertical Line to Histogram in Excel
- Stock Return Frequency Distributions and Histograms in Excel
- How to Create Histogram in Excel Using VBA

**<< Go Back to Excel HistogramÂ |Â Excel ChartsÂ |Â Learn Excel**

Thank you for the excellent tutorial. It was very helpful. However, I would like to better understand where you got the number 122 in order to scale the curve to the best normal distribution. Do you have any information on how to choose the number for scaling?

Hi

ROXANNE,Thanks for your complement. The number

122used for scaling is chosen based on empirical or trial-and-error methods to visually match the bell curve with the histogram in the specific context of this tutorial. It is not a standard or universally defined scaling factor; rather, it appears to be chosen to align the bell curve with the histogram in a way that the author finds visually pleasing or appropriate for his dataset. If you are reproducing this analysis for a different dataset, you may need to experiment with the scaling factor to achieve the best visual fit for your specific data. Adjusting this factor allows you to customize the appearance of the bell curve to better match the characteristics of your dataset.Regards,

Rafiul HasanExcelDemy