In statistics, a quartile is each of four equal groups into which a population can be divided according to the distribution of values of a particular variable.
The interquartile range (IQR) is a measure of variability, based on dividing a data set into quartiles. Quartiles divide a rank-ordered data set into four equal parts.
The quartile deviation(QD) is half the difference between the highest and lower quartile in a distribution.
A box and whisker plot has four quartiles in which its data is spread across.
It is marked by the minimum, and maximum, the median, as well as the lower and upper quartiles. It also shows the skewness of the data.
See related link. Upper and lower quartiles are the 75 and 25% percentile measures.
There are 5 quartiles in any data set.
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No.
Yes it does.
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.
Quartiles are values that divide a sample of data into four groups containing the same number of observations. You will find details in the related link.
It gives you the interquartile range
It is a simple but crude measure of the spread of data.
Quartiles have nothing to be "solved", but they can be "found" if that's what you mean...
quartiles
It depends on what you wish to convert them to. Having said that, there are not many options.
Outliers