How would you apply this concepts to call center statistics? There are two numerical ways of describing
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How would you apply this concepts to call center statistics?
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There are two numerical ways of describing quantitative variables, namely measures of location, and measures of dispersion. Measures of location are often referred to as averages. The purpose of a measure of location is to pinpoint the center of a distribution of data. (Lind, 2019). Measure of dispersion A value that shows the spread of a data set. The range, variance, and standard deviation are measures of dispersion. (Lind, 2019). Measure of location A single value that is typical of the data. It pinpoints the center of a distribution. The arithmetic mean, weighted mean, median, mode, and geometric mean are measures of location. (Lind, 2019). Median The midpoint of the values after they have been ordered from the minimum to the maximum values. (Lind, 2019). Mode The value of the observation that appears most frequently. (Lind, 2019). There are two numerical ways of describing quantitative variables, namely measures of location, and measures of dispersion. Measures of location are often referred to as averages. The purpose of a measure of location is to pinpoint the center of a distribution of data. (Lind, 2019). Measure of dispersion A value that shows the spread of a data set. The range, variance, and standard deviation are measures of dispersion. (Lind, 2019). Measure of location A single value that is typical of the data. It pinpoints the center of a distribution. The arithmetic mean, weighted mean, median, mode, and geometric mean are measures of location. (Lind, 2019). Median The midpoint of the values after they have been ordered from the minimum to the maximum values. (Lind, 2019). Mode The value of the observation that appears most frequently. (Lind, 2019).
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International Marketing And Export Management
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