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Feb 16, 2025
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BIOL 3000 - Biostatistics (4) This course is repeatable: No Max # of units may be repeated: 0 Total # of units allowed for credit: 4 Max times this course can be taken for credit: 1
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. Lecture 3 hours, laboratory 3 hours.
Grading: ABCDF Mode of Delivery: Face to Face, Online Campus: Main Campus
Prerequisite(s): Graded C or better in BIOL 1200 , 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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