Using ANOVA to Analyze Variances Between Multiple Groups


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question 1 of 3

The purpose of running an ANOVA is to find the _____ .

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1. Brian is conducting a study to determine whether meditation affects body weight. Brian plans to have three different groups, where each group will be assigned a different length of meditation time. When Brian gathers his data, he will compare the body weights of the participants between groups. Which type of ANOVA is Brian using?

2. In order to conduct a study to determine whether meditation affects body weight, Brian plans to have one group participate in different lengths of meditation time. After each length of meditation time, Brian will measure the body weight of each individual in the group, which is _____ form of ANOVA.

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About This Quiz & Worksheet

Using this quiz and worksheet, you can evaluate how well you understand ANOVA. The quiz will assess your understanding of concepts like variables and the differences between means.

Quiz & Worksheet Goals

The quiz questions will test you on how well you can:

  • Identify the focus of ANOVA and the different types of ANOVA
  • Define the difference between a One-Way and a Two-Way ANOVA
  • Understand what an ANOVA is similar to
  • Explain the purpose of the F-Ratio

Skills Practiced

This worksheet and quiz let you practice the following skills:

  • Making connections - use understanding of the concept of ANOVA to answer questions about its different types
  • Interpreting information - verify that you can read information regarding studies that use the same group of participants and interpret it correctly
  • Distinguishing differences - compare and contrast topics from the lesson, such as One-Way and Two-Way
  • Knowledge application - use your knowledge to answer questions about the F-Ratio

Additional Learning

To learn more about using ANOVA to analyze variances between multiple groups, review the lesson, which covers the following objectives:

  • Define analysis of variance
  • Explore types of One-Way ANOVA
  • Define F-Ratio
  • Recognize the carryover effect
  • Understand a Two-Way ANOVA
  • Define factorial
  • Know what 'mixed design' means in relation to ANOVA