A sum of squares that measures the variability among the sample means is called the total sum of squares.
According to the statement
we have to explain about in the sample means, The sum of squares that measures among the variability.
So, For this purpose, we know that the
The variation is comprised the sum of the squares of the differences of each mean with the grand mean.
And
A one-way ANOVA is used for three or more groups of data, to gain information about the relationship between the dependent and independent variables.
In other words, Variability, is the extent to which data points in a statistical distribution or data set from the average value.
So, for all this, A sum of squares that measures the variability among the sample means is called the total sum of squares.
Hence, A sum of squares that measures the variability among the sample means is called the total sum of squares.
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