Lectures related to Type I and type II errors

Covers hypothesis testing steps and introduces ROC curves for test comparison.

Explores the challenges of multiple testing in genomic data analysis, covering error rate control, adjusted p-values, permutation tests, and pitfalls in hypothesis testing.

Qualitative Factors: Statistical Test and Errors

Covers the computation of effects in Design of Experiments and explains statistical tests and errors, including type I and II errors.

Statistical Significance: Maximum Likelihood Estimation and Confidence Intervals

Explores type I and type II errors, critical values, and confidence intervals in statistical significance.

Statistical Hypothesis Testing: Concepts and Applications

Provides an overview of statistical hypothesis testing, including its purpose, formulation, and significance in data analysis.

Statistical Hypothesis Testing: Unilateral and Bilateral Pairs

Explores unilateral and bilateral pairs in statistical hypothesis testing, covering critical values, test statistics, and p-values.

Statistical Estimation

Covers statistical estimation methods and explores practical examples of parameter estimation for different distributions.

Hypothesis Testing and Confidence Intervals: Key Concepts

Provides an overview of hypothesis testing and confidence intervals in statistics, including practical examples and key concepts.

Hypothesis Testing and Confidence Intervals: An Overview

Covers hypothesis testing, confidence intervals, and their applications in statistics.

Hypothesis Testing: Neyman-Pearson Framework

On hypothesis testing explores the Neyman-Pearson framework, test functions, errors, and likelihood ratio tests.

Testing: Specification Testing

Covers classical hypothesis testing, specification testing, and errors in hypothesis testing in choice models.

Specification Testing

Covers specification testing in choice models, highlighting the impact of errors.

Statistics & Experimental Design

Explores conditional probability, Framingham studies, effect size, t-test, and sampling error in statistics.

Confidence Intervals and Hypothesis Testing

Explores confidence intervals, hypothesis testing, and ROC curves in statistical analysis.