Applied Statistics for Engineers

Catalog description

This course provides an introduction to applied statistical methods and their application in engineering. The fundamental methods presented include: graphical presentation methods; probability distributions for attribute and variable data; confidence intervals and hypothesis tests for means, standard deviations, proportions, counts, and distribution shape in the context of one, two, paired, and many samples; ANOVA; regression, and correlation. Introductions to engineering applications will include acceptance sampling, statistical process control, process capability analysis, statistical tolerance intervals, designed experiments, gauge error studies, and reliability. MINITAB and/or R will be used in class; however, students may use whatever software they prefer or have available.