Course Detail
Course Components:
Enrollment Information
Enrollment Requirement:
Prerequisite: Introductory statistics or equivalent and instructor's consent.
First of 2 courses that provide sound theoretical and practical understanding of logic and application of selected methods of statistical analysis. Topics include evaluating characteristics of data, properties of normal distribution, measures of central tendency and dispersion, introduction to probability theory, general approach to hypothesis-testing in inferential statistics, and parametric and nonparametric approaches to testing hypotheses about single or multiple samples. Specific statistics covered are measures of association (e.g., chi-square and correlations), comparisons of multiple groups (e.g., t-tests, ANOVA), and their nonparametric equivalents (e.g., Mann Whitney-Kruskall-Wallis).