Probabilities and Statistics

Related lectures (30)

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Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.

Explores conditional density, expectations, and independence of random variables with practical examples.

Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.

Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.

Explores bias, variance, and confidence intervals in parameter estimation using examples and distributions.

Covers probability, random variables, expectation, GLMs, hypothesis testing, and Bayesian statistics with practical examples.

Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.

Explores moment-generating functions, linear combinations, and normality of random variables.

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