Deviation (statistics)

Related lectures (31)

Covers the propagation of uncertainty in model measurements and the importance of understanding errors.

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

Explores probability theory, distribution of averages, and the central limit theorem.

Covers statistical thematic mapping, types of maps, discretization methods, and proportional symbols in maps.

Explores the application of Newton's laws to the sport of curling.

Explores the tradeoff between risk and return in portfolios, the benefits of diversification, and the impact of correlation on portfolio risk.

Covers conditional density, independence of random variables, expectation, and variance calculation.

Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.

Covers risk and return tradeoffs in portfolios, diversification benefits, and the efficient frontier with multiple assets.

Explores model selection in statistics, discussing principles, probabilistic models, characteristics evaluation, and data visualization methods.

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