(Association of Binary Variable) Consider the following contingency tables: Y = 0 Y = 1 Total X = 0 X = 1 10 10 20 20 40 10 10 Total 20 20 B=0|B=1 Total A=0 A=1 Total 15 20 5 15 20 %3D 20 20 40 L=0| L=1 Total %3D K=0 K =1 Total 150 50 200 50 200 150 200 200 400 Sort these three pairs of variables according to their x2-statistic, and Jaccard Index (separately for each statistic). Make sure to identify cases of equality.
(Association of Binary Variable) Consider the following contingency tables: Y = 0 Y = 1 Total X = 0 X = 1 10 10 20 20 40 10 10 Total 20 20 B=0|B=1 Total A=0 A=1 Total 15 20 5 15 20 %3D 20 20 40 L=0| L=1 Total %3D K=0 K =1 Total 150 50 200 50 200 150 200 200 400 Sort these three pairs of variables according to their x2-statistic, and Jaccard Index (separately for each statistic). Make sure to identify cases of equality.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.4: Applications
Problem 2EQ: 2. Suppose that in Example 2.27, 400 units of food A, 500 units of B, and 600 units of C are placed...
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