Measurement errors, calculations with unknown quantities, and error propagation. Sensitivity analysis. Techniques of sampling and statistical estimation. Introduction to sensors and data acquisition tools. Frequency distributions. Probability. Binomial, Poisson, normal distributions. Tests of hypotheses. Significance. The t-test and chi-squared test. Curve fitting by least squares. Correlation and regression. Design of experiments. [Offered: W] Prereq: MATH 118; Level at least 2A Mechatronics Engineering. Antireq: CIVE 224, ECON 221, KIN 222, MSCI 252, ME 202, PSCI 314, PSYCH 291, PSYCH 292, REC 371, SOC/LS 280, STAT 202, 206, 211, 220, 221, 231, 241, SYDE 212
