In Bayesian statistics, the posterior probability is: A) The probability of the data given the hypothesis. B) The prior probability updated with the likelihood of the observed data. C) The initial belief about the parameter before observing any data. D) The probability that the null hypothesis is true after seeing the data.

In Bayesian statistics, the posterior probability is: A) The probability of the data given the hypothesis. B) The prior probability updated with the likelihood of the observed data. C) The initial belief about the parameter before observing any data. D) The probability that the null hypothesis is true after seeing the data.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section11.8: Probabilities Of Disjoint And Overlapping Events

Problem 2C

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