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
Question
In Bayesian statistics, the posterior
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.
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