MATH 205 Applied Statistics

4 semester hours

An introduction to basic methods of extracting information from data with a focus on statistical methods and interpretation of results. Exploratory and descriptive data analysis including graphical examination of data and measures of central tendency and spread. Classical and non-parametric tools of hypothesis testing (t tests, one-way, and two-way ANOVA, Mann-Whitney and Kruskal-Wallace for mean-comparison problems). Simple linear regression. Practical considerations of experimental design. Analysis of data using modern computational software (e.g. R).
Prerequisite: MATH 122 or MATH 131.

University Core fulfilled: Flag: Quantitative Literacy.

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