Unit 2: Mean Differences
- Page ID
- 22193
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- 7: Inferential Statistics and Hypothesis Testing
- So far we've been using statistics to mostly describe a sample. But we can do so much more with what we've learned about probability and the Standard Normal Curve. I'll show you!
- 7.1: Growth Mindset
- 7.2: Samples and Populations Refresher
- 7.3: The Research Hypothesis and the Null Hypothesis
- 7.4: Null Hypothesis Significance Testing
- 7.5: Critical Values, p-values, and Significance
- 7.6: Steps of the Hypothesis Testing Process
- 7.7: The Two Errors in Null Hypothesis Significance Testing
- 8: One Sample t-test
- Using what we just learned about Null Hypothesis Significance Testing, we can now test to see if our sample seems to be from the population.
- 9: Independent Samples t-test
- But what if you want to compare two groups, not a sample to a population?
- 10: Dependent Samples t-test
- What do you do when your two groups are related?
- 11: BG ANOVA
- What do you do to compare three unrelated groups?
- 11.1: Why ANOVA?
- 11.2: Introduction to ANOVA's Sum of Squares
- 11.3: Hypotheses in ANOVA
- 11.4: Practice with Job Applicants
- 11.5: Introduction to Pairwise Comparisons
- 11.6: Practice on Mindset Data
- 11.7: On the Relationship Between ANOVA and the Student t Test
- 11.8: Non-Parametric Analysis Between Multiple Groups
- 11.9: BG ANOVA Practice Exercises
- 12: RM ANOVA
- But what if your three groups are related?
- 13: Factorial ANOVA (Two-Way)
- But what if you have two independent variables, each with at least two levels? What do you do then?!