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CHAPTER III

Single Factor Experiment

Learning Objectives:

At the end of the lesson you should be able to:

1. Assign treatments in the experimental unit by
Randomization and lay out using the table of random numbers, drawing
cards, toss coin, etc.

2. Illustrate the field lay out and construct the ANOVA
for each type of experimental design.

SINGLE FACTOR EXPERIMENTS

 Those where only one experimental factor or variable is studied at a
time.
 There is only one factor which varies but the rest of the factors are
held constant. ( the same)
o Examples: Yield Trial for New Corn Varieties
o Growth and Yield performance of Rice applied with varying rates
of Potassium fertilizers
o Growth Performance of Narra applied with Different level of
fertilizer
o Performance of mahogany under different water regimes.

COMPLETELY RANDOMIZED DESIGN

 The simplest design use in agricultural experiments.
 Appropriate for conditions with which are more or less homogeneous
 Used where environmental effects could be easily controlled or where
the inherent characteristics of the materials arew more or less
uniform.
 This is seldom used under field conditions
 This is usually used in the conduct of laboratory, greenhouse, pot and
nursery experiments.

ADVANTAGES AND DISADVANTAGES:

Advantages:

1. Simple
2. Flexible in the number of replications and treatments processing of
statistical data is easy even if some of the experimental units is
missing or rejected
3. Use of CRD is based on the assumption that the experimental
materials as well as the study environment is uniform.