Mathematics 6 Probability and Statistics

Description

Statistical analysis for data. Statistical measurements. Skewness and kurtosis. Elementary probability – Probability theorems. Conditional probability --Independent and dependent events. Total probability theory – Baye's Theorem. Discrete random variables – probability mass function. Continuous rando variables – probability density function. Mathematical expectation: mean, variance, skewness and kurtosis. Special discrete distribution: Bernoulli, Binomial. Geometric and Poisson distributions. Special continuous distribution: Uniform – negative exponential. Normal distribution. Joint Probability distribution.

Program

Bachelor Degree in Computer Engineering

Objectives

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