Asked by Ashley Egeland on May 16, 2024

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In analysis of variances, the sum of squares for treatments (SST) is zero when all the sample means are equal.

Sum of Squares

A statistical technique used to measure the variation or dispersion of a set of numbers, calculated by summing the squares of differences from the mean.

Sample Means

The average value of a set of observations, taken from a sample of the population.

  • Identify the conditions where the Analysis of Variance (ANOVA) technique is appropriate.
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SD
Shyam DattaMay 19, 2024
Final Answer :
True
Explanation :
When all the sample means are equal, there is no variation between the groups, leading to a sum of squares for treatments (SST) of zero, as SST measures the variance between the groups.