ACBS553
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ACBS553 - Statistics for Applied Biological Experiments
Course ID
006752
Course Description
This course is intended for graduate students in the biological sciences. Topics covered will include parameter estimation, hypothesis testing, regression and ANOVA, graphical exploration of data, Bayesian statistics and resampling methods, and experimental design. Principles of statistical practice will be highlighted and practical experience gained through laboratory homework exercises. The statistical language R will be used for analysis, however other software such as SAS could be used.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Attributes
GIDP - ABS (Applied Biosciences)
Course Requisites
MATH 113, or equivalents. MATH 160, statistics, helpful, but not required.
May be convened with
Component
Lecture
Optional Component
No