If you know the prior probabilities of membership in the groups, enter the values. You can type in the probabilities or specify constants (K) that contain stored values. Enter one value for each group.
For example, if 60% of a population belongs to Group A and 40% belongs to Group B, the prior probabilities are 0.60 and 0.40.
Entering prior probabilities can improve the results of the analysis. Minitab assigns the first value to the group with the smallest (lowest) group identifier, the second value to the group with the second smallest (lowest) group identifier, and so on. If the group identifiers are text values, Minitab determines their rank by their value order. For more information on value order, go to Change the display order of text values in Minitab output.
If the probabilities do not sum to 1, Minitab normalizes them. If you do not enter prior probabilities, Minitab uses equal probabilities for the analysis.
For more information on prior probabilities, go to What are posterior probabilities and prior probabilities?.
To classify observations with unknown groups, enter a column or columns that contain the new data for each predictor. Each row contains the measurements on one observation. The number of constants or columns must equal the number of predictors. For more information, go to Use discriminant analysis to predict group membership for new observations.