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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.
Illustration of Rank Correlation Coefficient Sometimes numerical data such refers to the quantifiable variables may be described after which a rank correlation coefficient may
log6+log-4
when is the trnscribing process of data preparation irrelevant ? a)CAPI b) mall panel c) in home interview d) all of them
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finite or infinite 1]A={4,5,6,....}
63*789
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