Explanation:
Fisher's index fails the Circular Test. Only indexes with constant weights, like Kelly's or simple geometric mean of price relatives, pass it.
Assertion (A): Association between attributes does not imply causation. Reason (R): Two attributes may be associated due to a third confounding variable or chance.
A.Both A and R are true, but R is not the correct explanation of A
B.A is true but R is false
C.A is false but R is true
D.Both A and R are true, and R is the correct explanation of A
Explanation:
Statistical association indicates a relationship but not causality; confounding factors or random variation can create spurious associations, necessitating careful interpretation beyond correlation.
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