Design of Experiments Basics

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Paired Tests: Shoe Sole Experiment

Explores paired tests using a shoe sole experiment, showing significant differences between materials A and B.

Observational Studies: Pitfalls and Solutions

Covers the pitfalls of observational studies, solutions to avoid biases, and the importance of valid conclusions from 'found data'.

Causal Analysis of Observational Data

Covers causal analysis of observational data, pitfalls, tools for valid conclusions, and addressing confounding variables.

Evaluating Learning Technologies: Randomized Experiments Insights

Discusses the impact of live streaming lectures on student performance and attendance, revealing varied effects based on student ability levels.

Fractional Factorial Designs

Explores fractional factorial designs, from types to analysis and model building.

Experimental Design and Analysis

Covers the basics of experimental design and analysis, focusing on statistical techniques like ANOVA, regression, mediation, and moderation.

Observational Studies: Pitfalls and Solutions

Explores observational studies, pitfalls, solutions, and the importance of valid conclusions in research projects.

Spatial Statistics: Significance

Explains the calculation of statistical significance in spatial statistics using permutation and randomization methods.

Design of Experiments: Statistical Design and Analysis

Covers statistical design of experiments, focusing on minimizing costs and maximizing accuracy.

Observational Studies: Pitfalls and Solutions

Explores the challenges of observational studies, emphasizing the importance of randomization and sensitivity analysis in drawing valid conclusions from 'found data'.