Biology, BA

Course content focuses upon basic concepts and operations in descriptive and inferential statistics. The areas of study will include measures of central tendency and dispersion, probability, correlation and regression analysis, parametric (t-tests and ANOVA) and non-parametric (chi-square) tests of significance. A basic introduction to Statistical Package for Social Sciences (SPSS) software is provided. Cross listed with SCWK 202. Meets the general education quantitative reasoning requirement.

Course content focuses upon basic concepts and operations in descriptive and inferential statistics. The areas of study will include measures of central tendency and dispersion, probability, correlation and regression analysis, parametric (t-tests and ANOVA) and non-parametric (chi-square) tests of significance. A basic introduction to Statistical Package for Social Sciences (SPSS) software is provided. Cross listed with PSYC 202. Meets the general education quantitative reasoning requirement. (Offered every semester.)

Advances in biology have pushed the development of statistical methods and depended on those methods for decades. Biostatistics focuses on three core areas: 1) general statistical concepts; 2) correct use and interpretation of statistical methods commonly used in biological sciences; and 3) basic familiarity with the R statistical software language, which has become an important tool in dealing with many kinds of data, including genetic data. Meets the general education quantitative reasoning requirement. Prerequisite: MATH106. (Offered spring semester.)