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x 13
N = x 11 + x 12 + x 13
x 13 + x 23
N
×
(5)
N
x 21
N = x 21 + x 22 + x 23
x 11 + x 21
N
×
(6)
N
x 22
N = x 21 + x 22 + x 23
x 12 + x 22
N
×
(7)
N
x 23
N = x 21 + x 22 + x 23
x 13 + x 23
N
×
(8)
N
From (3) and (6),
x 11
x 21 = x 11 + x 12 + x 13
x 21 + x 22 + x 23
In the same way, the following equation will be obtained:
x 11
x 21
= x 12
x 22
= x 13
x 23
= x 11 + x 12 + x 13
x 21 + x 22 + x 23
(9)
Thus, we obtain the following theorem:
Theorem 2. If two attributes in a contingency table shown in Table 3 are
statistical indepedent, the following equations hold:
x 11 x 22
x 12 x 21 = x 12 x 23
x 13 x 22
= x 13 x 21
x 11 x 23 = 0
(10)
It is notable that this discussion can be easily extended into a 2 ×n contingency
table where n> 3. The important (9) will be extended into
x 11
x 21
= x 12
x 22
= x 1 n
x 2 n
=
···
= k =1 x 1 k
= x 11 + x 12 +
···
+ x 1 n
k =1 x 2 k
(11)
x 21 + x 22 +
···
+ x 2 n
Thus,
Theorem 3. If two attributes in a 2
×
k contingency table (k =2 ,
···
,n)are
statistical indepedent, the following equations hold:
x 11 x 22
x 12 x 21 = x 12 x 23
x 13 x 22 =
···
= x 1 n x 21
x 11 x n 3 = 0
(12)
It is also notable that this equation is the same as the equation on collinearity
of projective geometry [1].
 
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