Week 14:chi square test
The statistical techniques presented in this chapter are used to test the statistical significance of the relationship between variables that have been arrayed in table format. If the patterns are significantly different from what would be expected by random chance, we conclude that the variables are related to the population. This conclusion will have a known probability of error, which is often set at the 0.05 level.
Download Files
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
