Carleton University · STAT 3504

Analysis of Variance and Experimental Design

Credits : 0.5 creditReference year : 2026-27

Description

Single and multifactor analysis of variance, orthogonal contrasts and multiple comparisons, analysis of covariance; nested, crossed and repeated measures designs; completely randomized, randomized block, Latin squares, factorial experiments, related topics. Computer packages are used for statistical analyses.

Prerequisites

  • Prerequisite(s): STAT 3503 or permission of the School.

Conditions and arrangements

  • Precludes additional credit for Precludes additional credit for STAT 4504 .
  • Prerequisite(s): STAT 3503 or permission of the School.
  • Lectures three hours a week and one hour laboratory.
Reference text in its original language

Single and multifactor analysis of variance, orthogonal contrasts and multiple comparisons, analysis of covariance; nested, crossed and repeated measures designs; completely randomized, randomized block, Latin squares, factorial experiments, related topics. Computer packages are used for statistical analyses.

  • Prerequisite(s): STAT 3503 or permission of the School.
  • Precludes additional credit for Precludes additional credit for STAT 4504 .
  • Lectures three hours a week and one hour laboratory.

Sources and references

Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.

Source reference : https://calendar.carleton.ca/undergrad/courses/STAT/

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