MATH 251 - Methods of Data Analysis

Second course in statistics for scientific, business and policy decision problems. Case studies are used to examine methods for fitting and assessing models. Emphasis is on problem-solving, interpretation, quantifying uncertainty, mathematical principles and written statistical reports. Topics: ordinary, logistic, Poisson regression, remedial methods, experimental design and resampling methods.

Prerequisites
MATH 141 or MATH 151 or SOC 141 or PSY 141 or MGMT 141 or AP Statistics credit or Permission of Instructor

Credits 1

Area
Math and Computer Science

Foundation
Quantitative Analysis

Compass Attributes
Quantitative Analysis