# Calculate: Sum of Squares

September 29, 2008 by kltangen

Filed under Calc Sum of Squares, How To Calculate

Like range, variance and standard deviation, Sum of Squares (SS for short) is a measure of dispersion. The more inconsistent the scores are (less homogeneous) the larger the dispersion. The more homogenous the scores (alike), the smaller the dispersion.

Using the formula above, let’s go through it, step by step Assume this is the distribution at issue:

X

12

6

5

4

5

10

3

First, each number is squared, and put into another column:

X **X ^{2
}**12 144

6 36

5 25

4 16

5 25

10 100

3 9

Second, we sum each column. The sum of the first column is 45. This is called the sum of X.

The sum of the second column is the sum of X-squared. Remember, we squred the scores and then added them up. The sum of the squared-X’s is 355.

Third, we square the sum of X (45 times itself = 2025) and divide it by N.

Since N = 7, we divide 2025 by 7 (which equals 289.29).

Fourth, we recall the sum of the X^{2} and subtract 240.67 from it. So 355 minus 289.29 = 65.71. The Sum of Squares is 65.71.

NOW YOU CHOOSE:

Day 3: Dispersion

A Bit More About Dispersion

Even More About Dispersion

Range

MAD

Sum of Squares

Variance

Standard Deviation

How To Calculate

Range

MAD

Sum of Squares

Variance

Standard Deviation

Formulas For Dispersion

Practice Problems

More Practice Problems

Basic Facts About Dispersion

Vocabulary

Quiz 3

Summary