# The Results are In: Plotting Numerical Ranges

**Adding graphs to your science project display board helps others see how your project went. Knowing when to use a histogram, and how it differs from other kinds of charts, might just give you a statistical edge! **

If you said you thought that "y" would increase when you changed "x," the data you logged in your science laboratory notebook during your experiment should show values for y at each different x that you tested. Your data might make sense to you immediately, but to present your data so that others can see and make sense of your results, you may need a chart. But what kind? Bar chart? Pie chart? Line graph? What about a histogram? The kind of chart you need has a lot to do with what kind of data you collected. If your data involves "ranges" of numbers, a histogram might be in order.

A Histo-huh?

A histogram looks similar to a bar chart, but there is an important difference between the two. A histogram shows how data falls into numerical ranges or bins. If you are testing paper airplanes, you might make a chart that shows how far, on average, each different style of plane flew. A bar chart works fine to represent this data. By looking at your graph, you will be able to see, at a glance, which style of plane *averaged* the most distance. This is the kind of data gathering and charting you might do as part of the "How Far Will It Fly? Build & Test Paper Planes with Different Drag" aerodynamics Project Idea.

But what if you wanted to test, instead, two specific plane designs? You (and maybe some friends) might fly planes of each design fifty or more times each and record the distance for each flight. While you might create a cumulative bar graph comparing the *average* results of the two designs, you might also chart your data for *each* plane, showing how many times *x-style plane* flew 0-5ft, 6-10ft, 11-15ft, 16-20ft, 21-25ft, and 26-30ft. Each of your data points, each distance you recorded, would fit into one of those numerical "buckets." By sorting your data into numerical ranges, you make a histogram.

Tracking Trajectory

The new "Bet You Can't Hit Me! The Science of Catapult Statistics" math Project Idea lets you get hands-on with histograms. In this math project, you'll use the cool Ping Pong Catapult kit to experiment with the launch settings needed to propel a ball a certain distance (or at a certain target). Which pull-back angle will yield the longest launch? Pick an angle, catapult a ping pong ball fifty or more times, measuring the distance each ball travels before hitting the ground, and then plot your data. Pick another pull-back angle, or change another variable, and see which setting works better. Using histograms, you can explore the statistics related to your data. What's the *mean* distance for a certain launch profile? What's the *standard deviation* of the data? What's the *distribution*?

The ping pong exploration is a fun way to experiment with the physics of the catapult and put practical statistics in action at the same time. (This is only *one* of several projects students can do with the Ping Pong Catapult science kit from the Science Buddies Store.)

A Sweet Math Extension

After getting some practice with ping pong balls, you can do a similar statistics project, and get more hands-on practice with histograms, by creating an independent variation based on the "M&M Math" Project Idea. A bar chart is fine if you just want to show how *many* candies of each color, on average, were in the bag of candies you opened at lunch. But what if you want to see how *often* each color shows up when you count the candies in a dozen different bags? Get to counting! When you are done, you can create a separate histogram for *each* of your candy colors and compare how the colors are distributed.

After that? Grab some friends and share!

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