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DATASCI 470

Introduction to the Design of Experiments

4 credits · Undergraduate credit

Introduces students to basic concepts for planning experiments and to efficient methods of design and analysis. Topics covered include concepts such as randomization, replication and blocking; analysis of variance and covariance and the general linear model; factorial and fractional factorial designs, blocked designs, and split-plot designs.

Topics

Topics explicitly listed in official catalogue description

Prerequisites & course information

Linear Regression (STATS 401 or STATS 413 or Econ 452 or IOE 366). (Prerequisites enforced at registration.) (4). (BS). May not be repeated for credit.

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