Summary and Setup

Statistical experimental design and data analysis fundamentals provide the background needed to plan, execute, and analyze experiments effectively. Data visualization approaches aid to interpret and communicate findings. Case studies using standard experimental designs illuminate concepts and place these designs in a real-world context. After completing this course, participants will be able to develop rigorous experimental designs that produce high-quality data.

Prerequisites

Some knowledge of the R statistical programming language are needed for success in this course.

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