August 2015
Intermediate to advanced
272 pages
5h 46m
Japanese
Content preview from Think Stats 第2版 ―プログラマのための統計入門
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48
4 章 累積分布関数
図
4-1
PMF
の限界を示す出生時体重の
PMF
、見た目の比較が困難
これらの問題を避ける代替手段が、本章の主題である累積分布関数（
cumulative
distribution function
、
CDF
）を使うことです。その話をする前に、パーセンタイル
を説明しなければなりません。
4.2
パーセンタイル
標準化されたテストを受けた経験があるなら、結果をテストの点数とパーセンタイ
ル順位（
percentile rank
）とで受け取ったはずです。その場合、パーセンタイル順位
とは、自分の点数以下の点を取った人の割合です。「
90
パーセンタイル順位である」
ことは、つまり、受験者の
90 %
の人と同じかより良い結果を出したということです。
次に、点数のシーケンス
scores
に対して、値
your_score
のパーセンタイル順位を
どのように計算できるかを示します。
体 重（ ポ ン ド ）
第一子
その他
出生時体重PMF
49
49
4.2 パーセンタイル
def PercentileRank(scores, your_score):
count=0
for score in scores:
if score <= your_score:
count += 1
percentile_rank = 100.0 ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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