Introduction to Statistics for Life Sciences
Credit Hours:
3 hours
Applied approach to statistical investigation, focusing on real- world decision making in the face of uncertainty. Introduction to central limit theorem and sampling distributions from probabilistic and simulations frameworks for inference, including one- and two-sample inference for means, proportions, simple regression, and categorical data. Consequences of Type I, Type II errors.
This course will be taught 95% or more online.
Duplicate Credit:
Not open to students with credit in STAT 3110
Semester Offered:
Summer
Course Type:
Level: