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Why is it important to have more than one treatment of the same type?
- Replication within a treatment shows how variable the response can
be.
- Resources may limit the total number of replicates. If this occurs
then a compromise between the number of treatments and the number of
replicates within a treatment has to be found.
- Depending on the statistics used in analysis it is possible to work
out the number of replicated needed to show a significant difference
between pairs of means.
- Statistics plays a vital role in the analysing of results obtained
from investigations. The experimental in scientific research is very
important for reliable results to be obtained.
Why is it important to have more than one in a sample in any treatment?
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Replication
Why is it important to have more than one sample type?
Why is it important to have more than one in a sample in any
treatment?
Why is it important to repeat experiments
Experimental design aspects
Control
Group
Variables
Measuring variables
Sample
size
Replication
Errors
in Experiments
Working Scientifically
Observations
Observation Questions
Hypothesis Formation
Experimental Design
Aspects
Ethics
Types of Research
Data Analysis |
