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complete blocks design should be used when the experimental units are placed
on or in several different tables, benches or water baths (i.e., "blocks"). Each
block holds a certain proportion of the experimental units. Treatments are
assigned to experimental units randomly within each block, and each block
contains an equal number of replicates of each treatment. Either of these designs
is acceptable, providing the principles of replication, randomization,
interspersion, and controls are followed. Adherence to the principles of
experimental design ensures that the most basic assumption of statistical
hypothesis testing, the assumption that treatments are sampled independently, is
met.
L.2 Statistical Methods for Water Column Tests
L.2.1 Water column toxicity tests
The objective of the analysis of water column toxicity test data is to assess
the evidence for reduced survival because of the toxicity of suspended plus
dissolved dredged material constituents. If reduced survival is evident, then the
median lethal concentration (LC50) or effective sublethal concentration (EC50) of
the dredged material is calculated from a serial dilution experiment. Figures L-1
and L-2 provide an overview of water column toxicity test data analysis. Control
survival must be $90 percent or some other appropriate value, otherwise the test
must be repeated. At the end of the exposure period, the effects, if any, on the
survival of the test organisms should be clearly manifest in the 100 percent elu-
triate concentration. When the dilutions are prepared with other than control
water, the dilution water treatment is preferred over the control water for the data
analysis. If the elutriate survival exceeds the control survival, then the toxicity
test indicates no adverse impact from the dredged material.
L.2.1.1 Comparison of 100 percent elutriate and dilution water
L.2.1.1.1 Methods
Two-sample t-test. The usual statistical test for comparing two independent
samples, such as the 100 percent elutriate and the dilution water in water column
toxicity tests, is the two-sample t-test (Snedecor and Cochran 1989). The
t-statistic for testing the equality of means 1 and 2 from two independent
x
x
samples with n1 and n2 replicates is:
2
t = ( x1 - x 2 ) /
s pooled (1/ n1 + 1/ n2 )
(L-3)
where s2ooled, the pooled variance, is calculated as:
p
2
2
2
s pooled = [ s1( n1 - 1) + s 2( n2 - 1)] / ( n1 + n 2 - 2)
(L-4)
and where s2 and s2 are the sample variances of the two groups. If the sample
1
2
sizes are equal (n1 = n2), then:
L9
Appendix L
Statistical Methods
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