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Ch 12: Analysis of Variance

About This Chapter

Learn more about how to use analysis of variance to compare data with this engaging chapter. The bite-sized lessons and multiple-choice quizzes work as a comprehensive study guide you can use to get ready for a business statistics test or complete homework assignments.

Analysis of Variance - Chapter Summary

In this chapter, our instructors present the definition of analysis of variance (ANOVA) and how it is used in statistics. With our short, easy-to-understand lessons, you'll learn about the sum of squares, the uses of ANOVA and more. To test your knowledge before taking an exam or to make sure you understand the material, take the accompanying multiple-choice quizzes. If you need additional help as you work through the chapter, you're welcome to contact a subject-matter expert for assistance. After completing this chapter, you should be ready to:

  • Describe types and procedures of basic experimental design in business
  • Define and discuss the application of analysis of variance
  • Differentiate between the main effect and interaction effect in analysis of variance
  • Share the definition of the sum of squares
  • Discuss how to perform a two-way ANOVA
  • Explain how to use ANOVA to analyze within-group variance and variance in multiple groups

7 Lessons in Chapter 12: Analysis of Variance
Test your knowledge with a 30-question chapter practice test
Basic Experimental Design in Business: Types & Procedures

1. Basic Experimental Design in Business: Types & Procedures

Great business decisions are always based on great data, but creating valid experiments isn't always easy. This lesson outlines the fundamental components of experimental design in business.

Analysis Of Variance (ANOVA): Examples, Definition & Application

2. Analysis Of Variance (ANOVA): Examples, Definition & Application

In this lesson, we will explain the most common statistical procedure in the field of psychology, the analysis of variance (ANOVA), in a way that's easy to understand. Then test your knowledge with a quiz.

Main Effect and Interaction Effect in Analysis of Variance

3. Main Effect and Interaction Effect in Analysis of Variance

Analysis of Variance (ANOVA) is a statistical test used to identify the effects of independent variables on the outcome of an experiment. In this lesson, learn about main effects and interaction effects and how ANOVA can be used to test for both.

Sum of Squares: Definition & Application

4. Sum of Squares: Definition & Application

In many situations, it is important to know how much variation there is in a set of measurements. One way to quantify this is to calculate the sum of squares. In this lesson, we'll learn how to calculate sum of squares and how to interpret the results.

Two-Way ANOVA: Definition & Application

5. Two-Way ANOVA: Definition & Application

A two-way analysis of variance (ANOVA) is used to determine if two different factors have an effect on a measured variable or not. In this lesson, we will learn how to perform a two-way ANOVA and how to interpret the results.

Using ANOVA to Analyze Within-Group Variance

6. Using ANOVA to Analyze Within-Group Variance

ANOVA is used to determine if there are differences between multiple groups of data. In this lesson, learn how to calculate within-group variance, a critical component of ANOVA.

Using ANOVA to Analyze Variances Between Multiple Groups

7. Using ANOVA to Analyze Variances Between Multiple Groups

This lesson explores what an analysis of variance, or ANOVA, is and how you as a researcher may use it to find the difference between multiple levels of the same variable without doing a ton of T-tests.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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