M 517 - Applied Engineering Statistics

3 credit(s)
Data collection, display, and interpretation. Discrete probability. General distributions and expectation values. Special discrete and continuous distributions. Sampling distributions and the Central Limit Theorem. Point and interval estimation, including confidence, prediction, and tolerance intervals. Parametric and nonparametric methods of hypothesis testing. Analysis of variance and the design of experiments, including blocking, etc. Simple and multivariate regression analysis, correlation, residual plots, diagnostics, and outlier detection. Introduction to statistical process control.
Prerequisite(s): Calculus II, or equivalents.

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