Kady Schneiter,
Utah State University
This applet consists of two windows, in the first (the investigate window), the user fills in a grid to create a distribution of numbers and to investigate the mean and median of the distribution. The second window (the identify window) enables users to test their knowledge about the mean and the median. In this window, the applet displays a hypothetical distribution and an unspecified marker. The user determines whether the marker indicates the postion of the mean of the distribution, the median, both, or neither. Two activities intended to facilitate using the applet to learn about the mean and median are provided.
Kady Schneiter,
Utah State University
This applet consists of two windows, in the first (the investigate window), the user fills in a grid to create a distribution of numbers and to investigate the mean and median of the distribution. The second window (the identify window) enables users to test their knowledge about the mean and the median. In this window, the applet displays a hypothetical distribution and an unspecified marker. The user determines whether the marker indicates the postion of the mean of the distribution, the median, both, or neither. Two activities intended to facilitate using the applet to learn about the mean and median are provided.
Investigate properties of the mean and median of a distribution, and then test your knowledge.
Use the menu in the upper-left corner of the applet to switch between the investigate and identify windows.
Use this window to investigate the value of the mean and median for a distribution of numbers you create in the grid.
By default, the window displays a distribution of hypothetical test scores (out of 10 points). An orange triangle marks a point in the distribution.
Use the investigate window to explore how changing the distribution affects the mean and median. Set the number of rows to 12 and the number of columns to 10, then respond to the following prompts:
Test your knowledge of the relationship between mean and median using the identify window. As you do this consider the following: