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Mean Deviation - 2 Video Lecture | Statistics for Economics - Class XI - Commerce

51 videos|41 docs|12 tests

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Video Timeline
Video Timeline
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00:24 Calculation of Mean Deviation & It's Coefficient
02:21 Example (In discrete series)
08:33 In Continuous Series
10:01 Example (In continuous series)
16:59 Merits & Demerits of Mean Deviation
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FAQs on Mean Deviation - 2 Video Lecture - Statistics for Economics - Class XI - Commerce

1. What is mean deviation?
Ans. Mean deviation, also known as average deviation, is a measure of the dispersion or spread of a set of data points. It quantifies the average distance between each data point and the mean of the data set. This measure provides information about the variability or inconsistency of the data.
2. How is mean deviation calculated?
Ans. To calculate the mean deviation, follow these steps: 1. Find the mean (average) of the data set. 2. Subtract the mean from each data point and find the absolute value of the differences. 3. Sum up all the absolute differences. 4. Divide the sum by the total number of data points to find the mean deviation.
3. Is mean deviation affected by outliers?
Ans. Yes, mean deviation is affected by outliers. As the mean deviation is calculated by finding the absolute differences between each data point and the mean, outliers, which are extreme values, can significantly impact the result. Outliers have a larger absolute difference from the mean, resulting in a higher mean deviation.
4. What is the difference between mean deviation and standard deviation?
Ans. Mean deviation and standard deviation are both measures of dispersion, but they differ in their calculation methods. Mean deviation is calculated by finding the average absolute difference between each data point and the mean, while standard deviation is calculated by finding the square root of the average squared difference between each data point and the mean. Standard deviation is more commonly used and provides a more precise measure of dispersion.
5. Can mean deviation be negative?
Ans. No, mean deviation cannot be negative. Mean deviation measures the average distance between each data point and the mean, so the absolute differences are always positive. The sum of positive values divided by the total number of data points will result in a non-negative mean deviation value.
51 videos|41 docs|12 tests
Video Timeline
Video Timeline
arrow
00:24 Calculation of Mean Deviation & It's Coefficient
02:21 Example (In discrete series)
08:33 In Continuous Series
10:01 Example (In continuous series)
16:59 Merits & Demerits of Mean Deviation
More
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