Week 12:One way anova
1. Identify and cite examples of situations in which ANOVA is appropriate.
2. Explain the logic of hypothesis testing as applied to ANOVA.
3. Perform the ANOVA test using the five-step model as a guide and then correctly interpret the results.
4. Define and explain the concepts of population variance, a total sum of squares, a sum of squares between, a sum of squares within, and mean square estimates.
5. Explain the difference between the statistical significance and the importance of relationships between variables.
6. Overview of the Repeated-Measures ANOVA
7. Hypothesis Testing and Effect Size with the Repeated-Measures ANOVA
8. More about the Repeated-Measures Design
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Course Material
- Week 1:Simple linear regression and pearson's correlation
- Week 2:Multiple regression
- Week 3:Multiple correlation and Partial correlation
- Week 4:Rank order correlation
- Week 5:Estimation/Point estimation
- Week 6:Interval estimation
- Week 7:Testing of hypothesis
- Week 8:Single sample test involving mean (z-test & t-test)
- Week 9:Single sample test involving proportion(z-test)
- Week 10:Two sample test difference of mean(z and t test)
- Week 11:Two sample test difference of proportion (z test)
- Week 12:One way anova
- Week 13:two way anova
- Week 14:chi square test
- Week 15:the sign test, the median test
- Week 16:the man whitney test/life table
- Chapters 16
- Department Sociology and Criminology
- Teacher
Hijab Zahra
