The sum of squares for error (SSE)measures the amount of variation that is explained by the ANOVA model,while the sum of squares for treatments (SST)measures the amount of variation that remains unexplained.
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Q15: The F-test in ANOVA is an expansion
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Q17: The sum of squares for error is
Q19: In ANOVA,a criterion by which the populations
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Q104: The sum of squares for treatments, SST,
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