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: Online (E) Level: Undergraduate
