About This Chapter
Inferential Statistics - Chapter Summary and Learning Objectives
The lessons in this chapter, taught by an expert instructor, will show you what inferential statistics are and how they are used in psychology research. You'll learn about hypothesis testing and the levels of statistical significance. Other lessons describe different types of tests and their purposes. You'll also learn about the analysis of variance, called ANOVA, and its function in comparing multiple groups. This chapter can help you understand the following:
- Definition of inferential statistics
- Comparing the null and alternative hypothesis
- Definition of statistical significance and levels of significance
- What are one- and two-tailed tests?
- Definition of chi-squared tests and t-tests
- ANOVA and how it is used
|Inferential Statistics for Psychology Studies||Define inferential statistics and discuss their uses in the field of research psychology.|
|Hypothesis Testing: Comparing the Null and Alternative Hypothesis||Explain the process of hypothesis testing by comparing the null to the alternative hypothesis.|
|Statistical Significance: Definition, Levels and Critical Regions||Define statistical significance. Discuss the various levels of significance, such as type 1 and type 2 errors, and critical regions.|
|One-Tailed vs. Two-Tailed Tests||Differentiate between one-tailed (directional hypothesis) and two-tailed (non-directional hypothesis) tests for statistical significance.|
|What is a Chi-Squared Test? - Definition and Example||Define and discuss the chi-squared test as a statistical hypothesis test.|
|What are t-Tests? - Assessing Statistical Differences between Groups||Define and discuss the t-test as a means of assessing if two groups are statistically different from each other.|
|Using ANOVA to Analyze Variances between Multiple Groups||Define ANOVA and describe how it is used to compare multiple groups, including one-way between-subject ANOVA, one-way repeated measures ANOVA and two-way ANOVA between subjects.|
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.
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.
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.
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.
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.
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.
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.
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Other chapters within the Psychology 105: Research Methods in Psychology course
- Introduction to Research Methods
- Principles of Ethical Research
- Setting Up the Research Study
- Data Collection Techniques in Psychology
- Nonexperimental Research
- Qualitative Research Methods and Design
- Quasi-Experimental Research
- Sampling and Generalization
- Measurement in Research
- Internal Validity in Research
- External Validity
- Experimental Design
- Descriptive Statistics in Psychology
- Evaluating Research Findings
- Studying for Psychology 105