Understanding Statistics & Experimental Design

This lecture covers various topics related to statistics and experimental design. It discusses the concepts of Type I and Type II errors, population distributions, sampling distributions, t-distribution critical values, implications of sample size, null results, and the confusion between significance and effect size. The instructor emphasizes the importance of interpreting statistical results correctly, avoiding misinterpretations, and understanding the implications of small effect sizes. The lecture also touches on the challenges of publishing null results, the normativity of statistics, the Bayes approach, and the significance of small effects. Overall, it provides insights into statistical analysis and experimental design principles.