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Related lectures (32)

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Describing Data: Statistics and Hypothesis Testing

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

Statistics & Experimental Design

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

Statistics: Hypothesis Testing & Confidence Intervals

Covers hypothesis testing, confidence intervals, data distributions, and statistical significance in data analysis.

Headline Analysis: Language Impact & Success

Explores the influence of language on headline success through real-world data analysis and statistical testing.

Hypothesis Testing: Statistics Overview

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

Statistics Essentials: The t-test

Introduces the t-test for assessing categorical effects on quantitative outcomes, covering hypothesis testing, assumptions, and alternative tests.

Differential Privacy: Partial Secrecy

Explains Differential Privacy focusing on Partial Secrecy, data base distance, and randomized mechanisms.

GLM II

Explores GLM II, covering hypothesis testing, F-tests, multiple comparisons, and enriching the model to account for imaging artifacts.

Hypothesis Testing and ROC Curves

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

From signal to observables

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