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  3. Experimental Design in R
  • 1

    Introduction to Experimental Design

    Free

    An introduction to key parts of experimental design plus some power and sample size calculations.

  • 2

    Basic Experiments

    Explore the Lending Club dataset plus build and validate basic experiments, including an A/B test.

  • 3

    Randomized Complete and Balanced Incomplete Block Designs

    Use the NHANES data to build a RCBD and BIBD experiment, including model validation and design tips to make sure the BIBD is valid.

  • 4

    Latin Squares, Graeco-Latin Squares, and Factorial Experiments

    Evaluate the NYC SAT scores data and deal with its missing values, then evaluate Latin Square, Graeco-Latin Square, and Factorial experiments.

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