(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.
MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Problem 1P
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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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F35fa430f-589e-4c96-94c6-b23ae2cbaf8e%2F883476fd-7fc9-4090-994e-905c77981bc9%2Fvti6s83_processed.png&w=3840&q=75)
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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