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
icon
Related questions
Question
None
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.
Expert Solution
steps

Step by step

Solved in 2 steps

Blurred answer
Recommended textbooks for you
Holt Mcdougal Larson Pre-algebra: Student Edition…
Holt Mcdougal Larson Pre-algebra: Student Edition…
Algebra
ISBN:
9780547587776
Author:
HOLT MCDOUGAL
Publisher:
HOLT MCDOUGAL
College Algebra
College Algebra
Algebra
ISBN:
9781337282291
Author:
Ron Larson
Publisher:
Cengage Learning
College Algebra
College Algebra
Algebra
ISBN:
9781938168383
Author:
Jay Abramson
Publisher:
OpenStax