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1 parent c34621c commit 98b658bCopy full SHA for 98b658b
module05/exercises/m05ex01.tex
@@ -100,14 +100,14 @@ \section*{Examples}
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TinyStatistician().var(a)
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# Output:
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- 15349.3
+ 12279.439999999999
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TinyStatistician().std(a)
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- 123.89229193133849
+ 110.81263465868862
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\end{minted}
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\info{
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- numpy uses a different definition of percentile, it does linear interpolation between the two closest list element to the percentile.
+ Numpy uses a different definition of percentile, it does linear interpolation between the two closest list element to the percentile.
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Make sure to understand the difference between the population and the sample definition for the statistic metrics.
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}
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