The human IQ is normally distributed with a mean of 100 points and a standard deviation of 15 points. A test measures the IQ with a standard deviation of 5 points. If someone scores 100 (or 150, 200) points on this test, what is a reasonable Bayesian estimate of his/her real IQ? Specifically, consider X₁N(0, 52) with a prior distribution on 0; being 0%; ~ N(100, 15²). (a) Find the posterior distribution of 0; given X₂. (b) What's the posterior expectation, E(X), for X1 = 100, X2 = 150 and X3 = 200, respectively? Do Bayesians appear to trust seemingly smart people or not? [Think: What's the statistical intuition behind their apparent trust or distrust?
The human IQ is normally distributed with a mean of 100 points and a standard deviation of 15 points. A test measures the IQ with a standard deviation of 5 points. If someone scores 100 (or 150, 200) points on this test, what is a reasonable Bayesian estimate of his/her real IQ? Specifically, consider X₁N(0, 52) with a prior distribution on 0; being 0%; ~ N(100, 15²). (a) Find the posterior distribution of 0; given X₂. (b) What's the posterior expectation, E(X), for X1 = 100, X2 = 150 and X3 = 200, respectively? Do Bayesians appear to trust seemingly smart people or not? [Think: What's the statistical intuition behind their apparent trust or distrust?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
I need help solving this example by using the posterior formula and computing the
![The human IQ is normally distributed with a mean of 100 points and a standard
deviation of 15 points. A test measures the IQ with a standard deviation of 5 points. If someone scores 100 (or
150, 200) points on this test, what is a reasonable Bayesian estimate of his/her real IQ? Specifically, consider
Xi ~ N(0i, 5²) with a prior distribution on ¤¿ being ; ~ N(100, 15²).
(a) Find the posterior distribution of 0; given X₁.
(b) What's the posterior expectation, E(0¿|Xi), for X1
=
-
100, X2 150 and X3
=
200, respectively? Do
Bayesians appear to trust seemingly smart people or not? [Think: What's the statistical intuition behind
their apparent trust or distrust?]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc1e46184-5bb3-4339-852b-bb3ef2e0784b%2F39cff662-3163-4ee3-9833-7932c78cb9c4%2Ftfopchv_processed.png&w=3840&q=75)
Transcribed Image Text:The human IQ is normally distributed with a mean of 100 points and a standard
deviation of 15 points. A test measures the IQ with a standard deviation of 5 points. If someone scores 100 (or
150, 200) points on this test, what is a reasonable Bayesian estimate of his/her real IQ? Specifically, consider
Xi ~ N(0i, 5²) with a prior distribution on ¤¿ being ; ~ N(100, 15²).
(a) Find the posterior distribution of 0; given X₁.
(b) What's the posterior expectation, E(0¿|Xi), for X1
=
-
100, X2 150 and X3
=
200, respectively? Do
Bayesians appear to trust seemingly smart people or not? [Think: What's the statistical intuition behind
their apparent trust or distrust?]
Expert Solution

This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 4 steps with 12 images

Recommended textbooks for you

MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc

Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning

MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc

Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning

Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON

The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman

Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman