 Content DisclaimerCopyright @2020.All Rights Reserved.

## StatsToDo: Bayes Probability

Explanations Calculations
Hints and Suggestions Javascript Program
 Attributes ± Outcome Designation Array of of Apriori Probabilities Input Using Attributes ± Outcome Designation     The data is a table with 2 or more columns     Each row contains data from a case from the reference data     The last, right most, column is for the outcome     All columns to the left are for attributes, each column a predictor     Each cell the name of attribute or outcome     All names must be single words Array of Apriori Probabilities     Probability for each outcome before attributes are known     Single row, number of columns = number of outcomes     Columns separated by spaces of tabs     Values representing relative probabilities or frequencies

 Table of Counts Array of of Apriori Probabilities Input Using a Table of Counts     The is a table of counts     Col 1 contains the predictors in numerical order     Col 2 contains attributes of predictor     All other columns to the right for the outcomes     The first row contains the outcome names     Each following row are for each attribute     Each cell is the count of the attribute (row) for that outcome (Col) Array of Apriori Probabilities     Probability for each outcome before attributes are known     Single row, number of columns = number of outcomes     Columns separated by spaces of tabs     Values representing relative probabilities or frequencies

 Table of P(a|o) Coefficients Array of of Apriori Probabilities Input Using a Table of Probability of attributesgiven the outcome P(a|o)     This is a table of probabilities P(a|o)     Col 1 contains the predictors in numerical order     Col 2 contains attributes of predictor     All other columns to the right for the outcomes     The first row contains the outcome names     Each following row are for each attribute     Each cell is the Probability attribute for the outcome P(a|o) Array of Apriori Probabilities     Probability for each outcome before attributes are known     Single row, number of columns = number of outcomes     Columns separated by spaces of tabs     Values representing relative probabilities or frequencies