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.

Attachement Files

powered by Syrian Monster - Web Service Provider - All Rights Reserved 2024