Engineering Probability and Statistics 

Credit Hours: 3.0

Lecture Contact Hours: 3     Lab Contact Hours: 0

Prerequisite: Calculus 2

Description:

Introduction to set  theories, samples and table representation with mean, power, variance, conversion & probabilities combination with related theorems, intermediate random variables, average & variance, distributions, binomial Poisson' distribution, geometric difference, normal distribution, multivariate random distribution, random sampling and random numbers, sampling from small society, estimation of statistical parameters, confidence interval, hypothesis test of decision-making, assumption test, variance experience regression, correlation test, non-parametric methods, direct data fitting line, momentum generator functions, large number theorem, central limit test, sum of independent random variables, conditional probability, total probability theorem.

Suggested Textbooks:

1. A. Poppulis and S. Pillai. Probability, Random Variables and Stochastic Processes. 4th Edition, McGraw Hill, 2002 (Chapters 1 through 8).

2. S. Ross. A First Course in Probability. 10th Edition, Prentice Hall, 2019.

G. Casella and R. L. Berger. Statistical Inference. 2nd Edition, Wadsworth Press, 2002.