          What is it: Bayesian Revision is a theorem used to calculate P[A/B] from information about P[A/B] refers to the probability of Event A, given that Event B has occurred. Bayesian also includes the following:

1. Binomial Probability Distribution - A method used to calulate the probability of a specific number of successes for a certain number of trials. The Binomial experiment is that has only two possible outcomes for each trial. The probability of success and failure is constant. Each trial of the experiment is independent of any other trial.
2. Empirical Probability - Type of probability that observes the number of occurrences of an event through an experiment and calculates the probability from a relative frequency distribution.
3. Poisson Probability - A measurement that is used to calculate the probability that a certain number of events will occur over a specific period of time.

Why use it: Bayesian is a field of probability statistics bu using the probability of known events in the past to predict probabilities in the future. This probability concept of interference is widely used in statistics to draw a conclusion from available data.

 Name Format Preview (Click to enlarge) Binomial Template Microsoft ExcelFormat Binomial Completed Example Microsoft ExcelFormat Poisson Template Microsoft ExcelFormat Poisson Completed Example Microsoft ExcelFormat Normal Template Microsoft ExcelFormat Normal Completed Example Microsoft ExcelFormat Empirical Conditional Probabilities Template Microsoft ExcelFormat Empirical Conditional Probabilities Completed Example Microsoft ExcelFormat USD \$19.95 I have read and agree to the Terms and Conditions.