Balance Scale Simulation

Learning Objectives
1. Understand what it means for a distribution to balance on a fulcrum
2. Learn which measure of central tendency will balance a distribution.

General Instructions
This demonstration allows you to change the shape of a distribution and see the point at which the distribution would balance.

The graph in the right panel is a histogram of 600 scores. The mean and median are equal to 8 and are indicated by small vertical bars on the X axis The top portion of the bar is in blue and represents the mean. The bottom portion is in pink and represents the median. The mean and median are also shown to the left of the Y axis.

You can see that the histogram is balanced on the tip of the triangle (the fulcrum). You can change the shape of the histogram by painting with the mouse. Notice that the triangle beneath the X-axis automatically moves to the point where the histogram is balanced. Experiment with different shapes and see if you can determine whether there is a relationship between the mean, median, and/or the mode and the location of the balance point.

Step By Step Instructions
1. Draw a distributon with a positive skew such as the distribution shown below. The mean, median, and mode will not be equal for a skewed distribution. Note which statistic is highest and which is lowest. Which one is the point where the distribution is balanced?

2. Draw a distributon with a negative skew.

Compare the statistics for this distributon, and see which one corresponds to the balance point.

3. Experiment with different distributions and see if you have discovered a rule for the balance point that holds for all distributions you try.

Illustrated Instructions
Below is a screen shot of the simulaton's beginning screen. Note that the distribution is balanced on the fulcrum. The mean and median are shown to the left and also as small vertical bars below the X-axis. The mean is in blue and the median is in pink. The next figure illustrates this more clearly.

You can change the distribution by painting with the mouse when running the simulation.
Below is an example of the distribution after it has been changed. Note that the mean and median are marked by vertical lines.