(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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2.
(Association of Binary Variable) Consider the following contingency tables:
X = 0
|X = 1
Y = 0| Y = 1 || Total
10
10
20
20
10
10
Total
20
20
40
B=0B=1
15
Total
A= 0
A = 1
20
15
20
Total
20
20
40
Total
200
200
400
L=0L
K = 0
K = 1
Total
150
50
50
200
150
200
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.
Transcribed Image Text:2. (Association of Binary Variable) Consider the following contingency tables: X = 0 |X = 1 Y = 0| Y = 1 || Total 10 10 20 20 10 10 Total 20 20 40 B=0B=1 15 Total A= 0 A = 1 20 15 20 Total 20 20 40 Total 200 200 400 L=0L K = 0 K = 1 Total 150 50 50 200 150 200 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.
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