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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.
applications of normal probability distribution
Question: (a) (i) Define the term multicollinearity. (ii) Explain why it is important to guard against multicollinearity. (b) (i) Sometimes we encounter missing values
In a study of outcomes for patients who had been in the Intensive care Unit (ICU) at a large hospital, the records from last 150 patients who had been in the ICU for more than one
Coefficient of Variation or C.V. To compare the variability between or more series, coeffiecnt of variation is used, it is relative measure of dispersion, it innovated and used
in a normal distribution with a mean of 85 and a STD of 5, what is the percentage of scores between 75 and 90?
What is an example of a real life situation when I would use each of these test
Frequency distribution A frequency distribution is a series where a number of items with similar values are put in separate groups or bunches. In other words a frequency distri
prove that coefficient of correlation lies between -1 and+1
Simple Linear Regression While correlation analysis determines the degree to which the variables are related, regression analysis develops the relationship between the var
According to a recent study, when shopping online for luxury goods, men spend a mean of $2,401, whereas women spend a mean of $1,527. Suppose that the study was based on a sample o
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