OS3113 Data Analysis for HSI and MOVES

Introduction to common types of data collection (sampling methods, surveys, observational studies, and experiments) and the link between data collection methods and data analytic procedures. Non-calculus based introduction to conducting statistical inference for estimation of population parameters and hypothesis testing with common parametric methods (confidence intervals, z-tests, t-tests, ANOVA, regression, chi-square). Data sets and motivational examples are drawn from recent research relevant to HSI and/or MOVES. Prerequisites: None.

Lecture Hours

4

Lab Hours

1

Quarter Offered

  • As Required