Q: What is the relation between mean deviation and quartile deviation?

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Standard deviation is the variance from the mean of the data.

The mean is the average value and the standard deviation is the variation from the mean value.

The mean deviation (also called the mean absolute deviation) is the mean of the absolute deviations of a set of data about the data's mean. The standard deviation sigma of a probability distribution is defined as the square root of the variance sigma^2,

Inter-quartile range, other percentile ranges, mean absolute variation, variance, standard error, standard deviation are all possible measures.

Related questions

mean deviation =(4/5)quartile deviation

What is mean deviation and why is quartile deviation better than mean deviation?

yes

Information is not sufficient to find mean deviation and standard deviation.

Standard deviation is the variance from the mean of the data.

we calculate standard deviation to find the avg of the difference of all values from mean.,

There are many:Range,Inter-quartile range,Percentile rangesMean absolute deviation from the mean or medianVarianceStandard deviationStandardised deviation

It is not possible to answer without any information on the spread (range, inter-quartile range, mean absolute deviation, standard deviation or variance).

If this is the only information you have, the answer would be somewhere around 125. Usually, you would find the third quartile by first finding the median. Then find the median of all of the numbers between the median and the largest number, which is the third quartile.

You make comparisons between their mean or median, their spread - as measured bu the inter-quartile range or standard deviation, their skewness, the underlying distributions.

When using the mean: the variance or standard deviation. When using the median: the range or inter-quartile range.

Standard error, standard deviation, variance, range, inter-quartile range as well as measures based on other percentiles.