Content
This course covers some basic principles for designing experiments, topics related to linear models for an analysis of variance and analysis of covariance, and conducting an appropriate analysis of data from several types of experiments: completely randomized, randomized complete block, split plot and cross-over.
Modes of study
Participation in classroom work, exam.
Recommended preceding studies
MTTTP1 Introduction to Statistics or other basic course in Statistics.
Content
This course covers some basic principles for designing experiments, topics related to linear models for an analysis of variance and analysis of covariance, and conducting an appropriate analysis of data from several types of experiments: completely randomized, randomized complete block, split plot and cross-over.
Modes of study
Participation in classroom work, exam.
Recommended preceding studies
MTTTP1 Introduction to Statistics or other basic course in Statistics.
Content
This course covers some basic principles for designing experiments, topics related to linear models for an analysis of variance and analysis of covariance, and conducting an appropriate analysis of data from several types of experiments: completely randomized, randomized complete block, split plot and cross-over.
Modes of study
Participation in classroom work, exam.
Recommended preceding studies
MTTTP1 Introduction to Statistics or other basic course in Statistics.