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Probability and Statistical Methods (MATE332)

Counting. Permutation, conbination. Probability; rules on probability. Conditional probability. Baye’s Theorem. Random variables; Discrete random variables, continuous random variables. Expectation, variance, standart deviation. Independent random variables. Binomial distribution, Multinomial distribution. Poisson distribution. Hypergeometric distribution. Normal distribution. Normal approximation to binomial distribution. Descriptive statistics; data, array, frequency distribution, histogram, frequency polygon, cummulative frequency distribution, ogive. Measures of General Tendencies; mean, median, mode, standart deviation. Interval estimation. Confidence interval

Credit: 3

Lecture Hour (hrs/week): 3

Lab (hrs/week): 1

Tutorial (hrs/week): 0

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