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Ch 11: TECEP Principles of Statistics: ANOVA

About This Chapter

Watch these engaging video lessons to improve your knowledge of ANOVA in statistics. This study guide resource is designed to help you prepare for the TECEP Principles of Statistics exam.

TECEP Principles of Statistics: ANOVA - Chapter Summary

This chapter explains the purpose of analysis of variance (ANOVA) in statistics and helps you apply ANOVA to solve statistics problems. The chapter goes over the following skills, which are needed to answer the types of ANOVA questions found on the TECEP Principles of Statistics exam:

  • Defining and applying analysis of variance
  • Analyzing variances between multiple groups using ANOVA

Our expert instructors guide you through each definition, formula and application so you can effectively and efficiently prepare for the exam. Repeatedly practicing the types of problems you'll see on the test makes it easier to answer the ANOVA-related questions on the TECEP exam.

7 Lessons in Chapter 11: TECEP Principles of Statistics: ANOVA
Test your knowledge with a 30-question chapter practice test
Analysis Of Variance (ANOVA): Examples, Definition & Application

1. 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.

Two-Way ANOVA: Definition & Application

2. 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.

Sum of Squares: Definition & Application

3. 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.

Using ANOVA to Analyze Variances Between Multiple Groups

4. 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.

Using ANOVA to Analyze Within-Group Variance

5. 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.

How to Calculate the F-Ratio

6. How to Calculate the F-Ratio

In statistics, the F-ratio is used to determine if there are differences between groups in an experiment. In this lesson, learn how to calculate the F-ratio and interpret the result.

Main Effect and Interaction Effect in Analysis of Variance

7. 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.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
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Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
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