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Lecture Notes for STAT 652 - STAT IN RESEARCH II at Texas A&M (A&M)

Notes Information

Material Type:Class Note
Professor:Staff
Class:STAT 652 - STAT IN RESEARCH II
Subject:STATISTICS
University:Texas A&M University
Term:--
Keywords:
  • Blocking Effect
  • Block Design
  • Primary Question
  • Combination
  • Combinations
  • Differences
  • Individual Response
  • Individuals
  • Variability
  • Populations
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Sample Document Text

Chapter 2. Randomized Complete Block Design 2.1 Randomized Complete Block Design 2.1.1 Examples When examining the effect of a factor, it is often helpful to remove the effect of excess variation through the use of blocking. A blocking variable is one that may affect the variation of the response, but is unrelated to the primary hypothesis of interest. The desired result is to have homogeneous experimental units within each block so that when the blocking effect is removed (through modeling), all individuals can be considered homogeneous before receiving the treatments. The term randomized complete block design usually refers to a design where there is a single fixed factor of interest and a single random blocking effect. The number of experimental units in each block is such that within each block each of the treatments can be randomly assigned the same number of times. Some examples of a randomized complete block designs follow. Examples of Randomized Complete Block Design Snakebite Venom To compare the imm...

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