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using an appropriate transformation (see Zar, 1984) and again checked for normality<br />

and homoscedasticity. One-way ANOVAs were then carried out together with a<br />

Tukey test if significant. Weed effects were assessed by comparisons of weed<br />

treatment plots with net plots. Although these could have been performed by Two-<br />

sample t-tests, ANOVA tests together with a Tukey test were used so that the presence<br />

of artefacts associated with the experiment could be determined, i.e., by comparisons<br />

of the unmanipulated controls with net plots.<br />

Pygospio elegans size-frequency distributions were compared between weed<br />

treatment and control plots using the Kolmogorov-Smirnov (K-S) test and the chi-<br />

squared (x 2) goodness of fit test. Both tests were used since although the former is<br />

more appropriate for continuous data (Zar, 1984) the latter permits the identification<br />

of those sizes contributing most to any significant differences. Size classes were<br />

grouped so that no expected values were below 5 for the X2 test, as recommended by<br />

Elliot (1977). All statistical analyses were performed using Minitab version 10.0<br />

except the Kolmogorov-Smirnov test which was carried out by hand using the formula<br />

for large sample sizes given by Smirnov (1948).<br />

92

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