Question 1 Consider a 3 dimensional contingency table. Decide if the following statements are true or false. Justify your answers. (a) The joint probability of the three variables according to the model [12][23] is Pi+kP+jk Pijk = P++k
Question 1 Consider a 3 dimensional contingency table. Decide if the following statements are true or false. Justify your answers. (a) The joint probability of the three variables according to the model [12][23] is Pi+kP+jk Pijk = P++k
Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter11: Data Analysis And Displays
Section: Chapter Questions
Problem 1CA
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please send handwritten solution for part a
![Question 1
Consider a 3 dimensional contingency table. Decide if the following statements are true or
false. Justify your answers.
The joint probability of the three variables according to the model [12][23] is
Pi+kP+jk
(a)
Pijk
P++k
Consider the model [12][13][23], then for at least one of the three variables
(b)
the marginal and the conditional odds ratio coincide.
Given the model [12][23], the marginal table
(c)
exhibit either association or no association.
ollapsed over variable 2 can
(d)
Given the model [1][23], the marginal table collapsed over variable 3 can
exhibit either association or no association.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff51bec3a-2485-4f5d-9267-17a2270308c8%2Fa1041e74-da4a-4277-a422-2b4bbb0d476d%2Ffgyc6va_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Question 1
Consider a 3 dimensional contingency table. Decide if the following statements are true or
false. Justify your answers.
The joint probability of the three variables according to the model [12][23] is
Pi+kP+jk
(a)
Pijk
P++k
Consider the model [12][13][23], then for at least one of the three variables
(b)
the marginal and the conditional odds ratio coincide.
Given the model [12][23], the marginal table
(c)
exhibit either association or no association.
ollapsed over variable 2 can
(d)
Given the model [1][23], the marginal table collapsed over variable 3 can
exhibit either association or no association.
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