Course Details

STAT 260: Introduction to Sampling Techniques

(Formerly MATH 255) Covers sampling design issues beyond the basic simple random sample: stratification, clustering, domains, and complex designs like two-phase and multistage designs. Inference and estimation techniques for most of these designs will be covered and the idea of sampling weights for a survey will be introduced. We may also cover topics like graphing complex survey data and exploring relationships in complex survey data using regression and chi-square tests. Prerequisite: Statistics 120, Statistics 230, or Statistics 250
6 credits; FSR, QRE; Offered Fall 2020; K. St. Clair