Education Technology

Analyzing Variance (ANOVA)

Published on 06/09/2008

Activity Overview

Students analyze variances of various data samples.

Before the Activity

Download the A1ANOVA program using one of these two methods:

  • TI Connect™, a TI Connectivity Cable, and the Unit-to-Unit Link Cable
  • TI-Navigator™  "send to class" feature
  • See the attached PDF file for detailed instructions for this activity
  • Print pages 107 - 114 from the attached PDF file for your class
  • During the Activity

    Distribute the pages to the class.

    Follow the Activity procedures:

    Completely Randomized Designs:

  • Record the distance of each hit made by a robotic golfer using three different brands of drivers
  • Store the data as lists
  • Enter the values for mean, standard deviation, and sample size
  • Run the ANOVA program
  • Determine the p-value
  • Evaluate the null hypothesis
  • Use the Bonferroni Multiple Comparison Procedure if the null hypothesis is rejected
  • Download the A1ANOVA program on the calculator
  • Input data using summary statistics or using a matrix
  • Observe that the results still show no difference between the means


  • Randomized Block Design:
  • Record data of distance traveled by three brands of balls, each hit three times by eight golfers
  • Store the data as lists
  • Enter the values for mean, standard deviation, and sample size
  • Run the A1ANOVA program
  • Determine the F-value and the p-value
  • Evaluate the null hypothesis
  • As the null hypothesis is rejected, use the Bonferroni procedure to determine which means differ


  • Two-Factor Designs With Equal Replicates:
  • Record the data obtained on testing three brands of two clubs using a robotic golfer in a completely randomized design
  • Run the A1ANOVA program
  • Store the data in a matrix
  • Determine the F-value and the p-value
  • Calculate the means and set up an xy-plot
  • After the Activity

    Review student results:

  • As a class, discuss questions that appeared to be more challenging
  • Re-teach concepts as necessary