MATH 230 Probability and Statistics for Engineers
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Basic concepts of probability (sample spaces and events, permutations, combinations, conditional probability and
independence). Discrete and continuous random variables, their probability distributions, expected value and
distribution parameters. Discrete probability distributions: Binomial, geometric, negative binomial, Poisson distributions.
Continuous probability distributions: uniform, normal, exponential, gamma and chi-squared distributions.
Jointly distributed and independent Random Variables. Covariance and correlation. The sampling distribution of sample mean.
Central Limit Theorem and its applications. Estimation. Confidence Intervals, Hypothesis Testing.
Credit units: 3 ECTS Credit units: 5, Prerequisite:
MATH 102.
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