Jun 12, 2024  
2017-2018 Undergraduate Bulletin 
2017-2018 Undergraduate Bulletin [ARCHIVED CATALOG]

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BIOL 250 - R/Biological Data Analysis

Credit(s): 3
Lecture: 3
Non-Lecture: 0
General Education Area(s): Mathematics

Quantitative analysis in the biological sciences involves understanding the scientific method, experimental design, sampling theory, graphs, and data analysis and interpretation. Students will develop and test hypotheses using statistics and graphing techniques in computer-based laboratory exercises. This course may count as a Biology elective (but it does not count toward the laboratory course requirements) OR serve as the computer science/statistics related requirement. (Students may not receive credit for more than one 200-level statistics course, including credit for more than one of the following courses: BIOL 250, ECON 205 , GEOG 278 , MATH 242 , MATH 262 , PLSC 251 , PSYC 250 , and SOCL 211 .) Restricted to Majors. Offered every fall.

Prerequisite(s): BIOL 116 .

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