Statistics

# What is best Interquartile range or Median absolute deviation?

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###### 2014-06-01 13:07:57

The answer depends on the purpose. The interquartile range and the median absolute deviation are both measures of spread. The IQR is quick and easy to find whereas the MAD is not.

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## Related Questions

Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.Some measures:Range,Interquartile range,Interpercentile ranges,Mean absolute deviation,Variance,Standard deviation.

Common measures of central tendency are the mean, median, mode. Common measures of dispersion are range, interquartile range, variance, standard deviation.

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

Range, standard deviation, variance, root mean square, interquartile range

The interquartile range is the upper quartile (75th percentile) minus (-) the lower percentile (75th percentile). The interquartile range uses 50% of the data. It is a measure of the "central tendency" just like the standard deviation. A small interquartile range means that most of the values lie close to each other.

The range and mean absolute deviation are: Range = 29 Mean absolute deviation = 8.8

Graphing to determine difference between third and first quartile as well as to find the median between the two. Also known as semi-interquartile range.

The standard deviation is the value most used. Others are variance, interquartile range, or range.

The Interquartile Range because it affects how much space is left between the median on either side....So there you go! I hope that I helped You... : D

what is the interquartile range of 16,17,19,22,23,25,27,36,38,40,40,45,46

The range, median, mean, variance, standard deviation, absolute deviation, skewness, kurtosis, percentiles, quartiles, inter-quartile range - take your pick. It would have been simpler to ask which value IS in the data set!

The Inter-quartile range is the range of the middle half of the data. It is the difference between the upper and lower quartile.Example: 35,80,100 110,120,120,170,180.The Inter-quartile range would be 145-90 or 55To find the interquartile range, you:1) Arrange the data in numerical order.2) Then find the median of the data sets.3) Find the median of the top half and bottom half. (of the set of numbers)4) The groups you now have are "quartiles"5) Find the interquartile range. (subtract the smaller range from the range)

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

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

By definition a quarter of the observations are below the lower quartile and a quarter are above the upper quartile. In all, therefore, half the observations lie outside the interquartile range. Many of these will be more than the inter-quartile range (IQR) away from the median (or mean) and they cannot all be outliers. So you take a larger multiple (1.5 times) of the interquartile range as the boudary for outliers.

The interquartile range is less likely to be distorted by outliers (extreme values).

The interquartile range of a set of data is the difference between the upper quartile and lower quartile.

I think its better to use range deviation in any distribution because it doesn't cause any trouble

If presents you with the upper and lower quartile range, although you have to do calculations in order to find the interquartile range, so no, it does not,

In general, you cannot. If the distribution can be assumed to be Gaussian [Normal] then you could use z-scores.

In general you cannot. You will need to know more about the distribution of the variable - you cannot assume that the distribution is uniform or Normal.

The box represents your Q1, Q2 (median) and Q3, so it is your interquartile range. The Q1 is the first box line, the Q2 is the middle one and the Q3 is the closing line. Your interquartile range basically tells you where 50% of the people are.