Histograms are great for summarizing several statistics. But whether you have enabled the Data Analysis Toolpak or you’re forging a path of formulas (COUNTIFs, AVERAGEs and STDEVs oh my!), creating a histogram in Excel isn’t always that great. We have developed Minitab Statistical Software to be your go-to histogram maker.
Let’s look at three ways you can do more with histograms in Minitab. For the first one, we will use an example on dishwasher spray arm reliability. You can download the data set from the Minitab Data Set Library if you’d like to follow along.
Bins are equally spaced intervals used to sort sample data. In histograms, they are shown as bars. Once you enter your data, Minitab follows an algorithm that makes a pretty good standard histogram. That doesn’t mean that you wouldn’t want to explore a little bit and see if small changes affect how the histogram looks. Here’s how a simple histogram of our dishwasher spray arm reliability data set displays:
To easily redefine the bins:
"Enter two values?" You might say "But I would prefer to have five bins on my graph!"
Minitab makes this easy. When you enter two values, Minitab expands the range of the bins to encompass the rest of your data. So if all you enter is two numbers …
… then Minitab does the rest of the work for you:
Making the histogram in Excel is relatively easy, but with this data set the Y axis range is all cramped and the graph ends up being too small to be clear enough to read and understand.
It would also not look as refined and you would run into a couple of bin range issues in addition to the bin range not being automatically handle for you.
So now you know how easy histograms make it to analyze the features of a single sample of data. But did you know they're great for comparing samples too?
You can do it all with Minitab’s Assistant. We’ll use another data set from the library for this, Cap removal torque data. Download and open the Minitab file, then follow along with these instructions.
You just halved the number of steps you need to get histograms that are easy to compare. Not only are the histograms arranged in a way that makes comparisons easy, but the Assistant’s Diagnostic Report reminds you about some of the important differences you can see. Does the data have the same center? Does the data have the same variability? Do both the center and variability differ? In this case, it looks like the center and variability both vary between the groups.
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Someday, someone is going to give you data that they've tallied instead of the nice single numeric column you're used to working with. Imagine, if you will, that it lands on your desk looking something like this:
A lesser person might be intimidated as well as disgusted. That data has over 300 numbers in it. But not you. You're so good at Minitab that you know you don't have to type over 300 numbers. You can use that data just the way it is. First, enter the data into Minitab:
Length of Stay |
Frequency |
5 |
20 |
6 |
20 |
7 |
50 |
8 |
20 |
9 |
10 |
10 |
110 |
11 |
30 |
12 |
20 |
13 |
20 |
14 |
20 |
15 |
0 |
16 |
0 |
17 |
10 |
18 |
0 |
19 |
0 |
20 |
10 |
21 |
0 |
22 |
10 |
23 |
0 |
24 |
20 |
Then, follow these steps:
You get this histogram:
And remember, if you want to change the bins around, you can use just two numbers and Minitab takes care of the rest!
Whether you want to quickly explore different bins, make comparisons between histograms, or make a histogram from a tally, Minitab makes it fast and easy. Histograms are full of the information that you need to make good decisions about how to improve your processes. Now you know how to get even more out of histograms in Minitab.