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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127
127
9.6 割合を検定する
データを読み込んで、検定を実行するコードは次のようになります。
live, firsts, others = first.MakeFrames()
live = live.dropna(subset=['agepreg', 'totalwgt_lb'])
data = live.agepreg.values, live.totalwgt_lb.values
ht = CorrelationPermute(data)
pvalue = ht.PValue()
dropna
に引数
subset
を用いて、必要な変数を欠いた行を除外しています。
実際の相関は
0.07
です。計算した
p
値は
0
です。
1,000
回実行後、シミュレーショ
ンした相関の最大値は
0.04
です。したがって、観察した相関は小さくても、統計的
に有意です。
この例は、「統計的に有意」が、効果が重要であるとか、実際に重大であるという
ことを常に意味するわけではないことを思い出させます。それは、偶然に生じること
がありえないということを意味するだけなのです。
9.6
割合を検定する
カジノを経営していて、客の一人がイカサマサイコロを使っているのではないかと
疑ったと仮定しましょう。すなわち、ある面が他の面より出やすくなるよう細工した
サイコロです。うわさの人物を捕らえてサイコロを差し押さえましたが、サイコロが
イカサマであることを証明しなければなりません。サイコロを
60
回振って、次のよ
うな結果が得られました。
値
1 2 3 4
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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.