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Rank Correlation Coefficient
Also identified as the spearman rank correlation coefficient, its reasons is to establish whether there is any form of association among two variables where the variables arranged in a ranked form.
R = 1 - {(6∑d2)/(n(n2 -1))}
Whereas d = difference among the pairs of ranked values.
n = numbers of pairs of rankings.
Expected Value of Perfect Information In the above problems we have used the expected value criterion to evaluate the decisions under the conditions of risk. But, as long as un
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