P-value

Formal sciences
Statistics
Statistical inference
Statistical hypothesis testing

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Related lectures (32)

Page 3 of 4

Estimating R: Multiple Testing and P-values

Explores the estimation of R in multiple testing scenarios and the challenges of P-value calculations.

Confidence Intervals and Hypothesis Testing

Explores confidence intervals, hypothesis testing, and decision-making using test statistics and p-values.

Genetics: Project R #2

Explores the analysis of genotypes and variants data through a Genome-Wide Association Study, focusing on the association between genetic variants and phenotypes like height.

Conditional queries: An Introduction to GIS

Covers conditional queries and joins in GIS, explaining operators and attribute selection based on conditions.

Extreme Value Theory: Applications and Threshold Selection

Explores extremal limit theorems, applications like Vargas rainfall data, and fitting piecewise Generalized Pareto Distributions.

Statistical Hypothesis Testing: Basics and Applications

Covers the basics of statistical hypothesis testing, p-values, confidence levels, and t-tests.

Hypothesis Testing and ROC Curves

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

Hypothesis Testing: T-Test and Chi-Square Test

Explains hypothesis testing using T-test and Chi-square test to compare means and assess independence of variables.

Hypothesis Testing: Wilks' Theorem

Explores hypothesis testing using Wilks' Theorem, likelihood ratio statistics, p-values, interval estimation, and confidence regions.

Interval Estimation

Covers the construction of confidence intervals for a normal distribution with unknown mean and variance.