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- Identify which concepts are covered on your inferential statistics in psychology homework.
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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
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.
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.
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.
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Other chapters within the Research Methods in Psychology: Homework Help Resource course
- Introduction to Research Methods: Homework Help
- Principles of Ethical Research: Homework Help
- Setting Up the Research Study: Homework Help
- Data Collection Techniques in Psychology: Homework Help
- Nonexperimental Research: Homework Help
- Qualitative Research Methods and Design: Homework Help
- Quasi-Experimental Research: Homework Help
- Sampling and Generalization: Homework Help
- Measurement in Research: Homework Help
- Internal Validity in Research: Homework Help
- External Validity: Homework Help
- Experimental Design: Homework Help
- Descriptive Statistics in Psychology: Homework Help
- Evaluating Research Findings: Homework Help