\ Probability

Probability (MATH 281)

Statistical experiments and events. Set theory. Interpretations and axioms of probability. Basic theorems of probability. Counting techniques. Independence of events. Conditional probability. Bayes’ theorem. Discrete distributions (binomial, hypergeometric, geometric, negative binomial, Poisson). Expectation and variance. Continuous distributions (uniform, normal, exponential, gamma, lognormal). Joint, marginal and conditional distributions. Conditional expectation and variance. Covariance and correlation. (ECTS: 6)

CATEGORIES:
Undergraduate, Compulsory, M.S. & Ph.D. Preliminary
CREDIT:
(2.2.0) 3
ECTS:
5
PREREQUISITES:
MATH 132

Yeditepe University, Industrial & Systems Engineering Department
26 Ağustos Yerleşimi, Kayışdağı Cad. 34755 Ataşehir, İstanbul

+90 (216) 578 04 50 info@sye.yeditepe.edu.tr

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