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Ch 14: Inferential Statistics in Psychology: Homework Help

About This Chapter

The Inferential Statistics in Psychology chapter of this Research Methods in Psychology Homework Help course helps students complete their inferential statistics in psychology homework and earn better grades. This homework help resource uses simple and fun videos that are about five minutes long.

How it works:

  • Identify which concepts are covered on your inferential statistics in psychology homework.
  • Find videos on those topics within this chapter.
  • Watch fun videos, pausing and reviewing as needed.
  • Complete sample questions and get instant feedback.
  • Finish your inferential statistics in psychology homework with ease!

Topics from your homework you'll be able to complete:

  • Hypothesis testing
  • Statistical significance
  • One-tailed vs. two-tailed tests
  • Chi-square test as a statistical hypothesis test
  • T-tests to assess statistical differences between groups
  • Analysis of variance (ANOVA)
  • Use of ANOVA to analyze variances between multiple groups

9 Lessons in Chapter 14: Inferential Statistics in Psychology: Homework Help
Test your knowledge with a 30-question chapter practice test
Inferential Statistics for Psychology Studies

1. Inferential Statistics for Psychology Studies

Psychology is a science, which means that in order to understand people's thoughts and behaviors, a basic understanding of statistics is necessary. Most psychology studies use inferential statistics. This lesson covers basic types of inferential statistics, as well as how to decide whether a hypothesis was supported by the results.

Hypothesis Testing: Comparing the Null & Alternative Hypothesis

2. Hypothesis Testing: Comparing the Null & Alternative Hypothesis

This lesson explores the process of comparing the null and the alternative hypothesis, as well as how to differentiate between the two after your testing is done.

Statistical Significance: Definition, Levels & Critical Regions

3. Statistical Significance: Definition, Levels & Critical Regions

This lesson explores the basic principle of statistical significance and why it is important to understand when performing nearly any statistical test.

One-Tailed Vs. Two-Tailed Tests: Differences & Examples

4. One-Tailed Vs. Two-Tailed Tests: Differences & Examples

This lesson explores the difference between the one-tailed and two-tailed tests. We will look at what they mean in statistical testing, as well as when you should and should not use them.

What is a Chi-Square Test? - Definition & Example

5. What is a Chi-Square Test? - Definition & Example

This lesson explores what a chi-square test is and when it is appropriate to use it. Using a simple example, we will work on understanding the formula and how to calculate the p-value.

What Are t-Tests? - Assessing Statistical Differences Between Groups

6. What Are t-Tests? - Assessing Statistical Differences Between Groups

This lesson explores how a researcher may use a t-Test. In addition, simple to follow instructions will demonstrate how to manually complete a t-Test.

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.

Intervening Variable: Definition & Example

8. Intervening Variable: Definition & Example

Sometimes the cause and effect relationship between independent and dependent variables is not obvious without the discovery of an intervening variable. Learn more about intervening variables from examples, and test your new knowledge with a quiz.

Projective Test: Definition & Example

9. Projective Test: Definition & Example

Projective tests are used to evaluate personality in a very unique way. This lesson describes the process, and shares examples of the most commonly used projective 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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