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==== Method 1 ====
# Use the [[median]] to divide the ordered data set into two
#* If there are an odd number of data points in the original ordered data set, '''do not include''' the median (the central value in the ordered list) in either half.
#* If there are an even number of data points in the original ordered data set, split this data set exactly in half.
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==== Method 2 ====
# Use the median to divide the ordered data set into two
#* If there are an odd number of data points in the original ordered data set, '''include''' the median (the central value in the ordered list) in both halves.
#* If there are an even number of data points in the original ordered data set, split this data set exactly in half.
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==== Method 3 ====
# Use the median to divide the ordered data set into two
## If there are odd numbers of data points, then go to the next step.
## If there are even numbers of data points, then the Method 3 starts off the same as the Method 1 or the Method 2 above and you can choose to include or not include the median as a new datapoint. If you choose to include the median as the new datapoint, then proceed to the step 2 or 3 below because you now have an odd number of datapoints. If you do not choose the median as the new data point, then continue the Method 1 or 2 where you have started.
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* [http://www.hackmath.net/en/calculator/quartile-q1-q2-q3-calculation Quartiles calculator] – simple quartiles calculator
* [http://www.vias.org/tmdatanaleng/cc_quartile.html Quartiles] – An example how to calculate it
* [https://quartilecalculator.net/ Quartiles Calculator] – online quartile and interquartile range calculator
[[Category:Summary statistics]]
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