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Related lectures (18)
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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.
Continuous Distributions: Testing and Estimation
Explores testing and estimating continuous distributions through interval partitioning and expected number calculations.
Stochastic Simulation: Random Number Generators
Explores random number generators, including Pseudo-RNG algorithms, properties, assessment methods, and independence testing.
Linear Regression: Estimation and Testing
Explores linear regression estimation, hypothesis testing, and practical applications in statistics.
Random Number Generators: Properties and Examples
Covers uniform and pseudo-random number generators, properties, examples, and quality assessment through empirical tests.
Hypothesis Testing: Q-Q Plots and Non-Parametric Tests
Covers hypothesis testing, Q-Q plots, and non-parametric tests in statistics.
Goodness-of-Fit Test: Variables and Distributions
Covers the revision of variables, categorical data analysis, and goodness-of-fit tests.
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.