Statistic with Stephen Zuniga, PhD

This is a 9-series statistics educational sessions on key concepts of research and statistics presented by Dr. Stephen Zuniga 

1. Research and statistics: Research design, qualitative and quantitative methods (click here to view)
2. Distributions: Central tendency and variability (click here to view)
3. Relationships in the data: Correlations and scatterplots (click here to view)
4. Inference: Confidence intervals and statistical significance (click here to view)
5. Inference: Hypothesis testing using distribution tests (t-test, chi-square) (click here to view)
6. Inference: Power analysis (t-test, chi-square) (click here to view)
7. Measurement and Assessment: Scales, factor analysis, and cluster analysis (click here to view)
8. Linear regression: Hypothesis testing, estimating effect sizes, and predictions for continuous outcomes (and ANOVA) (click here to view)
9. Logistic regression: Hypothesis testing, estimating effect sizes, and predictions for dichotomous outcomes. (click here to view)