what is the interquartile range of 16,17,19,22,23,25,27,36,38,40,40,45,46
the interquartile range is not sensitive to outliers.
interquartile range or mean absolute deviation.
The interquartile range of a set of data is the difference between the upper quartile and lower quartile.
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.
Both are measures of spread or dispersion.
Yes, it is.
On the standard deviation. It has no effect on the IQR.
The interquartile range is well known as a measure of statistical dispersion. It is equal to difference between upper and lower quartiles. The quartiles is a type of quantile.
If you are talking about statisitics, in a box and whisker graph it is the interquartile range.
The interquartile range :)
the range influences the extreme
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
how do you find the interquartile range of this data
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.
It gives you the interquartile range
It is important in any statistic measure
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.
It can if the middle 50% all have the same score
Range, standard deviation, variance, root mean square, interquartile range
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.