June 2024
Intermediate to advanced
200 pages
4h 46m
Japanese
Content preview from Python2年生 データ分析のしくみ 第2版 体験してわかる！会話でまなべる！
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Chapter
5
166
perlist = [0.1586, 0.02275, 0.00134]
for per in perlist:
ppf = norm.ppf(q=(1-per), loc=50, scale=10)
print("
上から", per * 100, "%以 上 に 入 る に は 、偏 差 値 ",ppf,"以上が必要")
上から 15.86 %以上に入るには、偏差値 60.002283757327085 以上が必要
上から
2.275 %以上に入るには、偏差値 70.00002443899604 以上が必要
上から
0.134 %以上に入るには、偏差値 80.02240904267309 以上が必要
IQ
：真ん中は
100
偏差値と似たものに「IQ（知能指数）」 があります。実はこれも、あらかじめ「平均値は
100、標準偏差は15（または24）」 とそろえておくことで、比較できるようにしたもので
す。自分の
IQを見れば「自分が全体のどれくらいの位置なのか」がすぐわかります。
IQも「norm.cdf」を使って調べることができます。IQ（15）は「平均値100、標準偏差
15」の正規分布として調べればいいのです。
例えば、
IQ 110、130、148が上から何％になるのかを調べてみましょう（リスト5.22）。
【入力プログラム】リスト 5.21
出力結果
167
違うばらつきのデータでの比較ができる
LESSON
19
from scipy.stats import norm
std = 15 ...
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