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.
- Students will recognize that there are four tests for assessing normality in a data set:
- The distribution is mound-shaped and approximately symmetric.
- The mean and median are approximately equal.
- The distribution follows the 68-95-99.7 rule.
- 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.
- normal distributions
- measures of central tendency
- 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.