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subjected to Shapiro-Wilk's Test for normality and Bartlett's Test for <br />homogeneity of variance (Zar 1984). Subsequently, relative growth was logo <br />transformed to stabilize variance for statistical procedures. <br />Density-dependent intraspecific competition was studied by analyzing the <br />relation between relative growth and feeding regime for Colorado squawfish and <br />fathead minnow in single-species assemblages. Regression analysis was used to <br />fit relative growth as a function of feeding regime. A significant regression <br />suggested that intensity of intraspecific competition varied with zooplankton <br />availability. Regression equations also allowed prediction of relative growth <br />over a range of feeding regimes: these estimates were used in analysis of <br />interspecific competition. <br />Effects of interspecific competition were estimated by comparing <br />relative growth of fish in mixed- and single-species assemblages, at identical <br />species-specific per-capita feeding regimes (Figure 1). For example, for the <br />experimental treatment illustrated in Figure 1, which comprised 62 Colorado <br />squawfish and 63 fathead minnow for a total density of 125 fish per aquarium, <br />the response of each species was compared to that estimated from <br />single-species regression equations at a density of 62 or 63 fish per <br />aquarium, respectively. The difference between relative growth in <br />mixed-species assemblages and single-species assemblages was tested by <br />calculating a one-sample t-statistic, and comparing it to a two-tailed <br />Student's critical value (Zar 1984). Relative growth in mixed-species <br />assemblages was the observed value; relative growth in single-species <br />assemblages was the expected value. A difference (d), where: <br />d = observed relative growth - expected relative growth, <br />10 <br />