Select the method or formula of your choice.

The sum of squares (SS) is the sum of squared distances, and is a measure of the variability that is from different sources.

- SS
_{Part} -
- SS
_{Operator} -
- SS
_{Part*Operator} -
SS

_{Part*Operator}= SS_{Total}– (SS_{Part}+ SS_{Operator}+ SS_{Repeatability}) - SS
_{Repeatability} - When the interaction term is in the ANOVA table, use the following
formula for the sum of squares for repeatability:
- SS
_{Total} -

The degrees of freedom (DF) for each SS (sums of squares). In general, DF measures how much information is available to calculate each SS.

- DF
_{Part} -
- DF
_{Operator} -
- DF
_{Part*Operator} -
- DF
_{Repeatability} -
- DF
_{Total} -

The mean squares (MS) is the variability in the data from different sources. MS accounts for the fact that different sources have different numbers of levels or possible values.

- MS
_{Part} -
- MS
_{Operator} -
- MS
_{Part*Operator} -
- MS
_{Repeatability} -

The F-statistic is used to determine whether the effects of Operator, Part, or Operator*Part are statistically significant.

- F
_{Part} -
- F
_{Operator} -
- F
_{Part*Operator} -

The p-value is the probability of obtaining a test statistic (such as the F-statistic) that is at least as extreme as the value that is calculated from the sample, if the null hypothesis is true.