In the Randomised Block Design ANOVA, the Sum of Squares

question 53

Short Answer

In the randomised block design ANOVA, the sum of squares for error equals: $\begin{array}{|l|l|}\hline\text { A. } & \text { SS(Total) - SST. } \\\hline \text { B. } & \text { SS(Total) - SSB } \\\hline \text { C. } & \text { SS(Total) - SST - SSB. } \\\hline \text { D. } & \text { SS(Total) - SS(A) - SS(B) - SS(AB) } \\\hline\end{array}$

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Definitions:

Standard Deviation

Standard deviation is a statistical measure of the dispersion or variance within a dataset, indicating how spread out the data points are from the mean.

Normal Distribution

A statistical distribution that is symmetric around its mean, showing that data near the mean are more frequent in occurrence than data far from the mean.

Normal Distribution

This probability distribution exhibits symmetry around its mean, indicating higher frequencies of data near the mean compared to data further away.

Sampling Distribution

The likelihood distribution of a statistical measure derived from numerous samples taken from a particular population.