Probability and Statistics

Description

Statistical analysis on statistical data. Statistical measurements. Elementary probability – Conditional probability. Independent and dependent events –Bayes Theorem. Combinatorial analysis. Discrete probability distribution – density .Continuous probability distribution – density . Mathematical expectation, mean and variance. Special discrete distribution Bernoulli. Geometric and Poisson distributions. Special continuous distribution: Uniform – negative exponential. Normal distribution. The exponential model in reliability. The exponential model in life testing.

Program

Mathematics

Objectives

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