Statistical hypothesis testing

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Hypothesis Testing: Statistics Overview

Provides an overview of hypothesis testing, p-values, Wald test, and non-parametric statistics.

Decision Theory: Risk and Hypothesis Testing

Covers decision theory, risk functions, and hypothesis testing in statistical inference.

Two-Sample T-Test

Explains the two-sample t-test for comparing means of independent samples, including hypothesis testing steps and test statistic calculation.

Describing Data: Statistics and Hypothesis Testing

Covers descriptive statistics, hypothesis testing, and correlation analysis with various probability distributions and robust statistics.

Descriptive Statistics: Hypothesis Testing

Introduces descriptive statistics, hypothesis testing, p-values, and confidence intervals, emphasizing their importance in data analysis.

Confidence Intervals and T-Test

Explores confidence intervals, T-test, and hypothesis testing, including assumptions and critical regions.

Radiation Detection: From Signal to Observables

Explores gaseous, scintillator, and semiconductor detectors, counting statistics, and statistical tests for radiation detection.

Optimal Tests for Simple Hypotheses

Discusses optimal tests for simple hypotheses and the significance of standardized distance in hypothesis testing.

Hypothesis Testing: T-Test Methodology

Explores hypothesis testing methodology using t-tests and the randomization test.

From signal to observables

Compares gaseous, scintillator, and semiconductor detectors for radiation detection, emphasizing the importance of understanding uncertainties in measurements.