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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58
4 章 累積分布関数
り、この範囲内のどの値も確率が等しいということだ。
random.random
を用いて
1,000
個の数値を生成し、その
PMF
および
CDF
をプロッ
トしなさい。分布は一様だろうか
†
。
4.10
用語集
パーセンタイル順位（
percentile rank
）
分布中の与えられた値以下の値が分布中に占めるパーセント。
パーセンタイル値（
percentile
）
与えられたパーセンタイル順位に対する値。
累積分布関数
(cumulative distribution function
、
CDF)
値に対して、その累積確率を対応させる関数。
CDF(x)
は、
x
以下の標本の割合
を示す。
逆
CDF
（
inverse CDF
）
累積確率
p
に対応する値を返す関数。
中央値（
median
）
50
パーセンタイル値。中心傾向の尺度としてよく用いられる。
四分位範囲（
interquartile range
）
25
および
75
パーセンタイル値の差。広がりの尺度として用いられる。
分位数（
quantile
）
等間隔のパーセンタイル順位に対応する一連の値。例えば、分布の四分位数は、
25
位、
50
位、
75
位パーセンタイル値。
復元（
replacement
）
標本抽出過程の特性の
1
つ。「復元抽出（
with replacement
）」とは、同じ値が複
数選ばれる可能性を意味する。「非復元抽出（
without replacement
）」は、一度
選ばれた値は母集団から取り除かれることを意味する。
†
訳注：一様分布については、
Wikipedia
日本語版の ...
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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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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.