Engineering Statistics With Probability

3 units

Study of statistics with probability in engineering applications. Probability and statistics: random variables, distribution functions, density functions, expectations, means, variances, combinatorial probability, normal random variables, joint distribution, independence, correlation, conditional probability, Bayes theorem, the central limit theorem. Applications: data visualization, point estimation, interval estimation, hypothesis testing, linear regression, design and analysis of experiments, tests of normality, multiple comparisons, non-parametric procedures, uncertainty analysis, and statistical ethics. This course has a required lab section where students will learn the basics of R to compute statistical analyses. Examples are taken from engineering applications with an equity lens.