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- Explain how inferential statistics is used in psychology.
- Learn how to test hypotheses by comparing the null and alternative hypotheses.
- Understand the levels of statistical significance.
- Describe the differences between one-tailed and two-tailed tests.
- Provide examples of chi-square tests.
- Examine the purpose of t-tests.
- Compare multiple groups using ANOVA.
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 Research Methods in Psychology: Tutoring Solution course
- Introduction to Research Methods: Tutoring Solution
- Principles of Ethical Research: Tutoring Solution
- Setting Up the Research Study: Tutoring Solution
- Data Collection Techniques in Psychology: Tutoring Solution
- Nonexperimental Research: Tutoring Solution
- Qualitative Research Methods and Design: Tutoring Solution
- Quasi-Experimental Research: Tutoring Solution
- Sampling and Generalization: Tutoring Solution
- Measurement in Research: Tutoring Solution
- Internal Validity in Research: Tutoring Solution
- External Validity: Tutoring Solution
- Experimental Design: Tutoring Solution
- Descriptive Statistics in Psychology: Tutoring Solution
- Evaluating Research Findings: Tutoring Solution