PSY 310 Lecture Notes - Lecture 17: Dependent And Independent Variables, Apa Style, Statistical Hypothesis Testing

• School: Stony Brook University
• Department: Psychology
• Course: PSY 310
• Professor: chai

Document Summary

Interpreting statistical output and expressing your results in words. Designing, conducting, analyzing, and interpreting experiments with more than two groups: Analysis of variance (anova) evaluates the influence of our iv on our dv. Used when you have more than 2 groups. Comparing the ratio of between groups variability (variability cause by the iv) to within-groups variability. Can answer more questions (and more sophisticated) questions with a multiple group design. Three groups of 8 salesclerks measured once (24 data points): To achieve significant f value, maximize between-groups variability and minimize within-groups variability. Post-hoc tests: statistical comparisons made between (pairs of) group means after finding a significant f ratio. The effe(cid:272)t of three differe(cid:374)t (cid:272)lothi(cid:374)g styles o(cid:374) (cid:272)lerks" respo(cid:374)se ti(cid:373)es (cid:449)as sig(cid:374)ifi(cid:272)a(cid:374)t. Post-hoc tests showed that clerks took longer to response to customers dressed in sloppy clothes than too either customers in dressy clothes or customers in casual (cid:272)lothes.