The third program in the core sequence explores quantitative methods for studying complex environmental phenomena. A primary focus is developing practical literacy in experimental design and data analysis. Students will learn statistical methods including graphical and tabular summaries, distributions, confidence intervals, t-tests, analysis of variance (ANOVA), Chi-square tests, linear regression, multivariate statistics, and both non-parametric and resampling approaches to these statistical methods. The program also introduces software for data management and statistical analyses. Computer lab exercises and collaborative group research projects help students develop proficiency in experimental design and statistical programs.
Class Size: 50
Credits per quarter
Log in to add this offering to your saved list.
Spring 2019 Registration
GR (8): 30136
In Person or Remote
Schedule Evergreen linksee Schedule Evergreen for detailed schedule
SEM 2 B1105 - Lecture