It gives a better picture of data collected because the data is not so spread out.
interquartile range or mean absolute deviation.
Range = maximum - minimum Interquartile range = Value of 75th percentile - value of 25th percentile. The 75th percentile is the value such that 25% of the observations are bigger and 75% are smaller.
The semi interquartile range is a measure for spread or dispersion. To find it you have to subtract the first quartile from Q3 and divide that by 2, (Q3 - Q1)/2
If you are talking about statisitics, in a box and whisker graph it is the interquartile range.
what is the interquartile range of 16,17,19,22,23,25,27,36,38,40,40,45,46
It gives a better picture of data collected because the data is not so spread out.
the interquartile range is not sensitive to outliers.
The interquartile range of a set of data is the difference between the upper quartile and lower quartile.
interquartile range or mean absolute deviation.
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,
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.
interquartile range
Yes, it is.
how do you find the interquartile range of this data
On the standard deviation. It has no effect on the IQR.
Both are measures of spread or dispersion.