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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133
133
9.11 再現
live, firs ts, others = first.MakeFrames()
data = firsts.prglngth.values, others.prglngth.values
neg_rate = FalseNegRate(data)
結果は
70
％で、平均妊娠期間の実際の相違が
0.78
週なら、この標本サイズの実験で、
全体の
70
％が陰性検定となると予期されます。
この結果は、しばしば別の言い方をされます。すなわち、実際の相違が
0.78
週な
ら、陽性検定は、全体の
30
％しかないと予期すべきだというものです。この正陽性
率（
correct positive rate
）は、検定の能力（
power
）や感度（
sensitivity
）と呼ばれ
ます。これは、与えられたサイズの効果を検出する検定の能力を反映します。
この例では、検定は、（差が
0.78
週という仮定のもとで）
30
％しか陽性の結果を導
くことができません。大雑把に言って、
80
％の能力なら受理可能と考えられるので、
この検定は、「検出力不足（
underpowered
）」と言えるでしょう。
一般に、陰仮説検定は、グループ間で差がないことを意味するものではありません。
それは、差があるとしても、あまりに小さくてこの標本サイズでは検出できないとい
うことを示しています。
9.11
再現
本章で示した仮説検定過程は、厳密に言えば、あまりよいやり方ではありません。
まず、複数の検定を行いました。仮説検定を
1
回だけ行えば、偽陰性の機会が ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.