the interquartile range is not sensitive to outliers.
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
how do you find the interquartile range of this data
Both are measures of spread or dispersion.
the interquartile range is not sensitive to outliers.
It is important in any statistic measure
the range influences the extreme
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 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
what is the interquartile range of 16,17,19,22,23,25,27,36,38,40,40,45,46
The standard deviation is the value most used. Others are variance, interquartile range, or range.
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,
interquartile range
Yes, it is.