Sampling Fundamentals and Prac

Catalog description

Sampling Fundamentals and Practice introduces statistical methods for studying large populations using representative samples. Topics include simple random, stratified, cluster, and systematic sampling, estimation with auxiliary information, and complex sample design. Students will apply these techniques using SAS software through practical examples and case studies relevant to data science research. It is recommended that students take this course in the same semester as STAT 3320 .