# Histogram in Minitab: Easy Steps & Video

Make a Histogram > How to make a histogram in Minitab

A simple Minitab graph. Image: PSU.

Minitab is a statistical software package that is similar to Excel or other spreadsheet programs. The big difference is while Excel requires you to install the Data Analysis Toolpak to access a limited range of statistical functions like histograms, you can make a histogram in Minitab with a couple of toolbar clicks. A histogram is a way to display frequency distributions. It’s similar to a bar chart, but while the heights of the bars in a bar chart show frequency, the area of the bars in a histogram display the frequency.

Watch this short video on how to make a histogram in Minitab, or you can read the steps below.

## How to make a histogram in Minitab

Step 1: Type your data into columns in Minitab. In most histogram cases, you’ll have two sets of variables in two columns.

Step 2: Click “Graph” and then click “Histogram.”

Step 3: Choose the type of histogram you want to make. In most cases for elementary statistics, a “Simple” histogram is usually the best option.

Step 4: Click “OK.”

Step 5: Click the name of the variable you want to make a histogram for and then click the “Select” button to move that variable name to the Graph Variables box.

Step 6: Click “OK” to create the histogram in Minitab.

Step 7: (Optional)Change the number of bins (category widths) by clicking on one of the bin headings (numbers) at the base of a bar. This opens the Edit Scale box. Click “Binning” and then click the “Number of intervals” radio button. Change the number of bins and click “OK.”

Tip: When you type your data into Minitab, make sure to give your variables meaningful names in the first row (the column header). This makes it easier to choose the variable you want to plot in Step 5.

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If you prefer an online interactive environment to learn R and statistics, this free R Tutorial by Datacamp is a great way to get started. If you're are somewhat comfortable with R and are interested in going deeper into Statistics, try this Statistics with R track.