## Median ∞

 ```1 2 3 4 5 6 7 8 9 10 11 ``` ```import math nums = [5, 9, 10, 11, 22, 1, 0, -1] #< Fill list with values nums.sort() #< Sort the list in ascending order try:     mid_num = ( len( nums ) - 1) / 2     median = nums[ mid_num ] except TypeError:   #<  There were an even amount of values     # Make sure to type results of math.floor/ceil to int for use in list indices     ceil = int( math.ceil( mid_num ) )     floor = int( math.floor( mid_num ) )     median = ( nums[ ceil ] + nums[ floor ] ) / 2```

## Lower Quartile ∞

 ```1 2 3 4 5 ``` ```import math nums = [5, 9, 10, 11, 22, 1, 0, -1] #< Fill list with values nums.sort() #< Sort the list in ascending order low_mid = int( round( ( len(nums) + 1 ) / 4.0 ) – 1 ) #< Thanks @Alex (comments) lq = nums[low_mid]```

## Upper Quartile ∞

 ```1 2 3 4 5 6 7 8 9 10 11 ``` ```import math nums = [5, 9, 10, 11, 22, 1, 0, -1] #< Fill list with values nums.sort() #< Sort the list in ascending order try:     high_mid = ( len( nums ) - 1 ) * 0.75     uq = nums[ high_mid ] except TypeError:   #<  There were an even amount of values     # Make sure to type results of math.floor/ceil to int for use in list indices     ceil = int( math.ceil( high_mid ) )     floor = int( math.floor( high_mid ) )     uq = ( nums[ ceil ] + nums[ floor ] ) / 2```

## Credits ∞

http://www.mathsteacher.com.au/year9/ch17_statistics/06_quartiles/quartiles.htm

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