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Example of Mean Deviation about Median for Discrete Frequency Distribution Video Lecture | Mathematics for GRE Paper II

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FAQs on Example of Mean Deviation about Median for Discrete Frequency Distribution Video Lecture - Mathematics for GRE Paper II

1. What is mean deviation about median for a discrete frequency distribution?
Ans. Mean deviation about median for a discrete frequency distribution is a measure of dispersion that quantifies the average distance between each data point and the median of the distribution.
2. How is mean deviation about median calculated for a discrete frequency distribution?
Ans. To calculate mean deviation about median for a discrete frequency distribution, the absolute deviations of each data point from the median are multiplied by their respective frequencies. These weighted deviations are then summed up and divided by the total frequency to get the mean deviation about median.
3. What does mean deviation about median tell us about the data?
Ans. Mean deviation about median provides information about the spread or dispersion of a dataset around its median value. A higher mean deviation about median indicates a greater variability or spread of data points from the median.
4. How is mean deviation about median different from mean deviation about mean?
Ans. Mean deviation about median and mean deviation about mean are both measures of dispersion, but they differ in terms of the central value used as the reference point. Mean deviation about median uses the median as the reference point, while mean deviation about mean uses the mean as the reference point.
5. Can mean deviation about median be negative?
Ans. No, mean deviation about median cannot be negative. Since absolute deviations are used in the calculation, the mean deviation about median will always be a positive value, representing the average distance between data points and the median.
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