Frequency distributions, averages, dispersion, simple linear regression and correlation, elementary probability, binomial and normal distributions, sampling distributions, confidence intervals, significance tests on means and variances, chi square tests for two way tables, introduction to the analysis of variance. Labs include projects in which a student collects and analyzes real data. Prerequisite: Mathematics 30-1 or 30-2. Notes: The course does not count toward the major in Mathematics and Physics or the minor in Mathematics. Credit may be obtained for only one of AUSTA 153, 213, 215, AUPSY 213 (2020).