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Agreement
The degree to which different observers, raters or diagnostic the tests agree on the binary classification. Measures of agreement like that of the kappa coefficient quantify the relative frequency of diagonal elements in a two-by-two contingency table, taking agreement due to possibility into account. It is significant to note that the strong agreement needs strongassociation but strong association does not need strong agreement.
Sampling Error It is the difference between the value of the actual population parameter and the sample statistic. Samples are used to arrive at conclusions regarding the p
Measures of Dispersion Box 3: Food vs. Oil Below are the figures for foodgrain procurement and cr
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