Related lectures (33)
Bayesian Statistics: Hypothesis Testing and Estimation
Covers hypothesis testing, p-values, significance levels, and Bayesian estimation.
Categorical Data Analysis: Methods and Examples
Explores the analysis of categorical and discrete data with examples.
Confidence Intervals and Hypothesis Tests
Covers confidence intervals, hypothesis tests, standard errors, statistical models, likelihood, Bayesian inference, ROC curve, Pearson statistic, goodness of fit tests, and power of tests.
Two-Sample T-Test
Explains the two-sample t-test for comparing means of independent samples, including hypothesis testing steps and test statistic calculation.
Randomization tests: Understanding Experimental Results
Explores randomization tests as an alternative to t-tests for experimental analysis, using fake data to assess treatment effectiveness.
Introduction to t tests
Covers the basics of t tests, including hypothesis testing, significance levels, P-values, Z-tests, and the t distribution.
Z-Test: Hypothesis Testing
Introduces hypothesis testing, focusing on the Z-test and critical regions.
Random Number Generators: Properties and Examples
Covers uniform and pseudo-random number generators, properties, examples, and quality assessment through empirical tests.
Statistical Tests for Exponential Families
Covers the optimal statistical tests for exponential families and the use of approximations in hypothesis testing.
Stochastic Simulation: Random Number Generators
Explores random number generators, including Pseudo-RNG algorithms, properties, assessment methods, and independence testing.

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