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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.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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.
Transcribed Image Text: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.
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