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Sep 07, 2024
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BIOL 3000 - Biostatistics [4] This course is repeatable: No Total # of units allowed for credit: 4 Max times this course can be taken for credit: 1 Max # of units may be repeated: 0
Course Description: Statistical analyses of data, including statistical computing, with applications to the life sciences. Topics include data visualization, experimental design, t-tests, ANOVA, chi-squared tests, and linear and logistic regression. Credit Hours: 3 lecture hour(s) 3 laboratory hour(s)
Grading: ABCDF Mode of Delivery: Face to Face, Hybrid, Online Campus: Main Campus Prerequisite(s): Grade of C or higher in (BIOL 1200 or CHEM 4300 ) and (MATH 1085 or MATH 1083 or MATH 1040 ) or equivalent Math course. Needs Permission to Enroll: No Special Fee Applied: No
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