Probabilities & Statistics

This course includes: Descriptive statistics - Measurement of central tendency and variability - Conditional probability and probability - Random variables and probability distributions - Chebychev inequality - Law of large numbers - Central limit theorem - Binary distribution - Poisson distribution - Normal distribution - Multidimensional random variables - Variables Bivariate and polynomial randomness - sampling distributions - hypothesis testing - confidence intervals - tests of means, variances (dispersions) and ratios.

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