In probability theory and statistics , the coefficient of variation CV , also known as relative standard deviation RSD , is a standardized measure of dispersion of a probability distribution or frequency distribution. The CV or RSD is widely used in analytical chemistry to express the precision and repeatability of an assay. The coefficient of variation should be computed only for data measured on a ratio scale , that is, scales that have a meaningful zero and hence allow relative comparison of two measurements i. The coefficient of variation may not have any meaning for data on an interval scale. On the other hand, Kelvin temperature has a meaningful zero, the complete absence of thermal energy, and thus is a ratio scale.
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CV analysis can be one of the most time-consuming parts of a recruiter's job, requiring considerable skill to perform accurately yet quickly. Thorough curriculum vitae analysis is necessary to ensure recruiters don't miss good candidates or put forward incorrect candidates; but it is also important to process all applications quickly to ensure a fast response for clients and move to the interview and placement stage. As the number of applicants per position rises and recruiting resources stay the same, or even reduce, many recruiters are turning to resume analysis software to help. But can automated curriculum vitae analysis really offer the accuracy and intelligence required by today's recruitment environment? First they are processing the data on the CV to understand what it says this is known as parsing. Second, they will have a specific vacancy or set of vacancies in mind and they will be assessing whether the CV they are looking at could be a good match whether this is a candidate that should be offered to a client for consideration. Successful CV analysis software therefore has to perform both accurate CV parsing and CV matching, both of which are challenging tasks for a computer.
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ANCOVA evaluates whether the means of a dependent variable DV are equal across levels of a categorical independent variable IV often called a treatment, while statistically controlling for the effects of other continuous variables that are not of primary interest, known as covariates CV or nuisance variables. ANCOVA can be used to increase statistical power the probability a significant difference is found between groups when one exists by reducing the within-group error variance. The F -test is computed by dividing the explained variance between groups e.
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