About This Chapter
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.
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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.
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.
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.
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.
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.
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.
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.
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Other chapters within the TECEP Principles of Statistics: Study Guide & Test Prep course
- TECEP Principles of Statistics: Measurement
- TECEP Principles of Statistics: Summarizing Data
- TECEP Principles of Statistics: Central Tendency & Variability
- TECEP Principles of Statistics: Probability
- TECEP Principles of Statistics: Probability Distributions
- TECEP Principles of Statistics: Correlation
- TECEP Principles of Statistics: Regression
- TECEP Principles of Statistics: Population, Samples & Probability
- TECEP Principles of Statistics: Hypothesis Testing & Estimation
- TECEP Principles of Statistics: t-Tests
- TECEP Principles of Statistics: Chi-Square Test
- TECEP Principles of Statistics Flashcards