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The example includes link to a matrix diagram that illustrates how Fisher-Yates is unbiased while the naïve method (select naïve swap i -> random) is biased. Select Fisher-Yates and change the line to have pre-decrement --m rather than post-decrement m--giving i = Math.floor(Math.random() * --m);, and you get Sattolo's algorithm where no item ...
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As a baseline algorithm, selection of the th smallest value in a collection of values can be performed by the following two steps: . Sort the collection; If the output of the sorting algorithm is an array, retrieve its th element; otherwise, scan the sorted sequence to find the th element.
If you are using more than one drop down list on the same page this parameter is very important. The Id parameter for each list should be different and unique (if using more than one on the same page). Hence the for example {{Drop down list|Name=text1|id=IdName1|Value1=a|Value2=b|Value3=c}}
It is important that the starting point is not automatically the first in the list, but is instead randomly chosen from within the first to the kth element in the list. A simple example would be to select every 10th name from the telephone directory (an 'every 10th' sample, also referred to as 'sampling with a skip of 10').