Education Technology

Assessing Normality

Published on 04/10/2011

Activity Overview

In this activity, students will learn four characteristics of a normal curve: the distribution is symmetric and mound-shaped; the mean and median are approximately equal; the distribution meets the 68-95.5-99.7 rule; and the normal probability plot is linear. They will use these to determine if a data set it normal.

Objectives

  • Students will recognize that there are four tests for assessing normality in a data set:
    1. The distribution is mound-shaped and approximately symmetric.
    2. The mean and median are approximately equal.
    3. The distribution follows the 68-95-99.7 rule.
    4. A normal probability plot of the data set is approximately linear.
  • Students will use the four tests to assess the normality of a given data set.

Vocabulary

  • normal distributions
  • histograms
  • measures of central tendency
  • percentiles
  • normal probability plot
  • 68-95-99.7 rule

About the Lesson

This lesson involves examining NBA two-point shooting percentages.
As a result, students will:

  • Create a histogram of the data and determine if the shape meets the requirement for normality—mound-shaped and symmetric.
  • Use one-variable statistics to find the mean and median and determine if they are approximately equal.
  • Make a new histogram of the data using the mean as a cut-point and the standard deviation as the bin width. They will calculate the percentage of data values within one-, two- and three-standard deviations of the mean to determine if the histogram meets 68-95-99.7rule.
  • Create a normal probability plot of the data and decide if the plot is linear, indicating normality.
  • Summarize the results of all four tests to decide if the data set is approximately normal.