Transcription of CHAPTER 8. RANDOMIZED COMPLETE BLOCK DESIGN WITH …
{{id}} {{{paragraph}}}
Example: quiz answers
CHAPTER 8. RANDOMIZED COMPLETE BLOCK DESIGN WITH …
CHAPTER 8. RANDOMIZED COMPLETE BLOCK DESIGN WITH AND WITHOUT SUBSAMPLES The RANDOMIZED COMPLETE BLOCK DESIGN (RCBD) is perhaps the most commonly encountered DESIGN that can be analyzed as a two-way AOV. In this DESIGN , a set of experimental units is grouped (blocked) in a way that minimizes the variability among the units within groups (blocks). The objective is to keep the experimental error within each BLOCK as well as possible. Each BLOCK contains a COMPLETE set of treatments, therefore differences among blocks are not due to treatments, and this variability can be estimated as a separate source of variation. The removal of an appreciable amount of this source of variation reduces experimental error and improves the ability of the experiment to detect smaller treatment differences.
Step 1. Outline the AOV table and list the sources of variation and degrees of freedom to provide the entries for the first two columns of Table 8-3. Step. 2. Correct factor (C) C = Y2 ../rk = (1152.1)2 /(5) (6) = 44244.48 where r is the number of blocks. Step 3. Total sum of squares (TSS) TSS Y Y Yij CC =−ij =−= −= ΣΣ ΣΣ (..).. 2 2 ...
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: