Statistics and Probabilities

 This course includes: Descriptive Statistics - Measurement of Central Tendency and Variability - Probability and Conditional Probability - Random Variables and Probability Distributions - Oscillating (Offering) Chebychev - Law of Large Numbers - Central Limit Theorem - Binary Distribution - Poisson Distribution - Normal Distribution - Multidimensional Random Variables - Random Variables Binary variability and polynomials - sampling distributions - hypothesis testing - confidence intervals - tests of means, variances (dispersions) and ratios.

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