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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.
data:59,59,65,70,74 176,179,195,210,200
Level of Significance: α The main purpose of hypothesis testing is not to question the computed value of the sample statistic, but to make judgment about the difference between
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Construct index numbers of price for the following data by applying: i) Laspeyre’s method ii) Paasche’s method iii) Fisher’s Ideal Index number
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