Statistics and Probabilities

This course includes: Descriptive statistics. Measures of central tendency and variability. Probability and conditional probability. Random variables and probability distributions. Chebyshev inequality. Law of large numbers. Central limit theorem.  Binomial, Poisson and normal distributions. Multidimensional random variables. Multinomial and bivariate random variables. Sampling distributions. Hypotheses testing. Confidence intervals. Tests of means, variances and proportions. 

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