Sheet1Bayes Theorem CalculatorEnter data in green cells,
calculated results in red cells.Enter simple event 'name' and
probability in green colored fields below. Row probability must sum
to 1.0InputFirst Simple EventAccount 1Account 2Account
3SumSectionProb0.70.20.11Second Event for which conditional
probabilities are known.SpamSpam/Account 1Spam/Account
2Spam/Account 3Spam/Spam/Spam/Spam/Enter conditional probabilities
for event listed above cell.0.010.020.05Total Probability for Row
EventBayes DenominatorSpam0.0070.0040.00500000.016OutputConditional
EventAccount 1/ SpamAccount 2/ SpamAccount 3/ Spam/ Spam/ Spam/
Spam/ SpamSectionProbability for Conditional Event in Cell
Above0.43750.250.31250000NOTE: Data shown from example 2.30 of
Devore text.
![Bayesian InferenceStatisticat].pdf1. Bayes’ Theorem Bayes’ theorem shows the relation between two conditional probabilities that are the reverse of each other. This theorem is](https://img.pdfslide.us/doc/110x75/5f8dd532af152601480d83ba/bayesian-inference-statisticatpdf-1-bayesa-theorem-bayesa-theorem-shows-the.jpg)
