Power of a test

Formal sciences
Statistics
Statistical inference
Statistical hypothesis testing

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Related lectures (31)

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Statistical Significance: Maximum Likelihood Estimation and Confidence Intervals

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

Explainable Neural Networks

Explores the concept of explainable neural networks and their significance in improving model interpretability, particularly in finance and house price valuation.

Statistical Hypothesis Testing & Error Types

Covers statistical hypothesis testing and error types in neural signals processing.

Z-Test: Hypothesis Testing

Introduces hypothesis testing, focusing on the Z-test and critical regions.

Building a Decision Tree

Covers building decision trees to classify mushrooms as poisonous or not.

Likelihood Ratio Tests: Optimality and Applications

Explores the theory and applications of likelihood ratio tests in statistical hypothesis testing.

Spatial Statistics: Significance

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

Introduction to Comparison Statistics

Introduces comparison statistics, error rates, hypothesis testing, and real-life examples of treatment effectiveness and weightlifting analysis.

Statistical Hypothesis Testing: Top Quark Discovery

Explains statistical methods for confirming the existence of the top quark.

Evaluation in NLP

Delves into NLP evaluation, covering gold standards, precision, recall, and statistical significance.