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Utree
April 24, 2019
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math_17
Utree
April 24, 2019
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Transcript
17 二項定理と組み合わせの数から複雑な確率計算へ 統計学が最強の学問である 数学編
今回のトピック - 二項定理を使って確率のばらつきが分かる - 例題
前回のおさらい 二項定理とは、(a+b)n を展開したときの各項 の係数を組み合わせの数によって求める方法 n Cx = ( n m)
= n! m!(n − m)!
確率分布 (a+b)^nのa,bにそれぞれ確率を当てはめること で、確率のばらつきを求めることができる (a + b)n = ( n 0)
an + ( n 1) an−1b + … + ( n n) bn
(a + b)n = ( n 0) an + (
n 1) an−1b + … + ( n n) bn n回繰り返す a: 期待通りになる確率 b: 期待が外れる確率 a+b=1 確率のばらつき
( n 0) an + ( n 1) an−1b +
… + ( n n) bn = 1 確率のばらつき
例題 100回中36件契約が取れる ↓ 成功率0.36、失敗率0.64 ↓ 10回中、契約成立回数が2件以下の確率は?
まとめ ある実験を繰り返し行うとき、期待する出来 事が何回起きるかを予測することができる