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Analysis of Variance and Design of Experiments

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    This is a graduate-level course that provides a thorough introduction to statistical methods used to analyze data resulting from a wide range of experimental designs. The concepts of comparative experiments, randomization, replication, repeated measures, blocking, and factorial designs will be discussed. The main goal of the course will be to develop problem-solving skills for identifying a variety of designs and making inferences on associated parameters. Examples from agricultural sciences, health, and social sciences, business, etc. will be used throughout the course.

    Thumbnail: A graphic giving a visual representation of a situation in which an ANOVA analysis will conclude to a very poor fit. (CC BY-SA 3.0; Vanderlindenma via Wikipedia)

    This page titled Analysis of Variance and Design of Experiments is shared under a CC BY-NC 4.0 license and was authored, remixed, and/or curated by Penn State's Department of Statistics via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.