Analysis of Variance (ANOVA) is a statistical method used to test differences between two or more means. It works by partitioning the total variability observed in the data into different sources.
In ANOVA, the total variation (Total Sum of Squares, SST) is typically broken down into two main components:
The error variance in ANOVA is essentially an estimate of the population variance based on the variability observed *within* each of the groups. It is calculated using the Within Group Sum of Squares (SSW) and the appropriate degrees of freedom.
Therefore, error variance is computed by considering the variation Within group.
The correct option is C.
| LIST-I (Concepts) | LIST-II (Meanings) |
| A. Theory | I. Generalized representations of a system or an object, that is constructed to some aspects of that system or the system as a whole. |
| B. Model | II. Research problem is represented by a mathematical model. |
| C. Survey | III. It is a set of systematically interrelated propositions that explain and predict a phenomenon or a fact. |
| D. Modeling | IV. It is a data collection technique using a questionnaire. |