In-depth introductory statistical methods, focusing on inference, alignment between study design and conclusions, and real-world decision making. Includes parametric and non-parametric approaches to one- and two-sample inference for means and proportions, Type I and II errors, power; chi-squared tests and simple regression. Course will be implemented in R.
Statistical Methods for Data Scientists
Credit Hours:
3 hours
Duplicate Credit:
Not open to students with credit in BIOS 2010, STAT 2000, STAT 2000E, STAT 2100H
Semester Offered:
Fall
Spring
Level: