μ Statistics for Psychology μ
Table of Contents
Topics Covered
- Descriptive Statistics
- Probability
- Normal Curve & Sampling Distribution
- Hypothesis Testing
- Z-scores
- t-test
- Visualizations
- F-test
- Correlation
- Regression
- Interactions
- Two-Way ANOVA
- Moderation
Course Overview
These course materials include from the book Discovering Statistics Using IBM SPSS Statistics with code examples using the mtcars dataset and the penguins dataset from the package palmerpenguins. These course materials should not be used as an alternative to an actual course/book on these topics. There are great dedicated books to learning these topics using R, such as Learning Statistics with R.
Course Lectures
Introduction
Common Designs Experimental manipulates independent variable to see the effect it has on the dependent variable Correlational does not manipulate anything looks at the relationship between two variables Populations & Samples A population is a large group of individuals, which a law of nature applies
Sampling & Standard Error
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Z-Scores
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t-Tests
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One-Way ANOVA
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Correlation
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Regression
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Two-Way ANOVA
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Moderation
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Introduction 2022-06-06 Common Designs Experimental manipulates independent variable to see the effect it has on the dependent variable Correlational does not manipulate anything looks at the relationship between two variables Populations & Samples A population is a large group of individuals, which a law of nature applies