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Probability and Statistical Methods (MATH322)

Introduction to probability and statistics. Operations on sets. Counting problems. Conditional probability and total probability formula, Bayes' theorem. Introduction to random variables, density and distribution functions. Expectation, variance and covariance. Basic distributions. Joint density and distribution function. Descriptive statistics. Estimation of parameters, maximum likelihood estimator. Hypothesis testing.

Credit: 3

Lecture Hour (hrs/week): 3

Lab (hrs/week): 1

Tutorial (hrs/week): 1

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