Students build upon knowledge of regression in further applications, particularly in experimental design. Students learn how to create different kinds of samples with various properties, and how to analyze such samples after the data has been collected. Students learn how to frame these designs in a regression framework to build upon existing knowledge in new situations such as models involving blocking, factors, and hierarchies. Students learn how to perform the corresponding inferences, such as (multiple) analysis of (co)variance. Prerequisite: C or better in ADSC 1010
Students build upon knowledge of regression in further applications, particularly in experimental design. Students learn how to create different kinds of samples with various properties, and how to analyze such samples after the data has been collected. Students learn how to frame these designs in a regression framework to build upon existing knowledge in new situations such as models involving blocking, factors, and hierarchies. Students learn how to perform the corresponding inferences, such as (multiple) analysis of (co)variance. Prerequisite: C or better in ADSC 1010
