Talk:Five-number summary

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what you need to know[edit]

simpile as this[edit]

hello people lets say you have a paperthat gives you directions like this for an ex:find the five-number summary for each data set. then you look below and you mite find some numbers aranged like this (37,44,5,8,20,11,14). you then would do this

                                             min:5
                                             lq:8
                                             med:14
                                             uq:37
                                             max:44

that is basically all you have to do

R example[edit]

The R example in its current form is mistaken in a few different ways. Firstly, it seems the stated numbers reflect an incorrect calculation of the 1st and 3rd quartiles. Secondly, the fivenum function in R currently uses the lower and upper hinge values, rather than the 1st and 3rd quartile values. I'm hesitant to correct it without some discussion as it introduces additional concepts in a way that might be confusing to the casual observer. — Preceding unsigned comment added by 70.112.234.206 (talk) 01:03, 25 January 2013 (UTC)

I get different results from the example. R version is (3.1.3 2015-03-09)
    > moons <- c(0, 0, 1, 2, 63, 61, 27, 13)
    > moons
    [1]  0  0  1  2 63 61 27 13
    > fivenum(moons)
    [1]  0.0  0.5  7.5 44.0 63.0
    > summary(moons)
       Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
       0.00    0.75    7.50   20.88   35.50   63.00
98.192.39.79 (talk) 02:25, 8 April 2015 (UTC)