(1) · 베르누이 확률변수 X k \displaystyle X_{k} X k 의 기댓값을 정확히 계산하였는가? (1) 모든 k = 1 , … , n \displaystyle k=1,\ldots,n k = 1 , … , n 에 대하여 E ( X k ) = 1 / 2 \displaystyle \mathrm{E}(X_{k})=1/2 E ( X k ) = 1/2 이므로
(1) · 확률변수의 합의 기댓값을 제대로 계산하였는가? E ( Z n ) = E ( 1 2 X 1 + 1 2 2 X 2 + ⋯ + 1 2 n X n ) = 1 2 E ( X 1 ) + 1 2 2 E ( X 2 ) + ⋯ + 1 2 n E ( X n ) = 1 2 ( 1 2 + 1 2 2 + ⋯ + 1 2 n ) = 1 2 ( 1 − ( 1 2 ) n ) \displaystyle \begin{aligned} \mathrm{E}(Z_{n}) &= \mathrm{E}\left(\frac{1}{2}X_{1}+\frac{1}{2^{2}}X_{2}+\cdots+\frac{1}{2^{n}}X_{n}\right) \\ &= \frac{1}{2}\mathrm{E}(X_{1})+\frac{1}{2^{2}}\mathrm{E}(X_{2})+\cdots+\frac{1}{2^{n}}\mathrm{E}(X_{n}) \\ &= \frac{1}{2}\left(\frac{1}{2}+\frac{1}{2^{2}}+\cdots+\frac{1}{2^{n}}\right) \\ &= \frac{1}{2}\left(1-\left(\frac{1}{2}\right)^{n}\right) \end{aligned} E ( Z n ) = E ( 2 1 X 1 + 2 2 1 X 2 + ⋯ + 2 n 1 X n ) = 2 1 E ( X 1 ) + 2 2 1 E ( X 2 ) + ⋯ + 2 n 1 E ( X n ) = 2 1 ( 2 1 + 2 2 1 + ⋯ + 2 n 1 ) = 2 1 ( 1 − ( 2 1 ) n )
(2) · 주어진 영역에 부합하는 X k \displaystyle X_{k} X k 값들을 제대로 파악할 수 있는가? (2) Z n \displaystyle Z_{n} Z n 을 이진법으로 표시하면 Z n = X 1 2 + X 2 2 2 + ⋯ + X n 2 n = ( 0. X 1 X 2 ⋯ X n ) ( 2 ) \displaystyle Z_{n}=\frac{X_{1}}{2}+\frac{X_{2}}{2^{2}}+\cdots+\frac{X_{n}}{2^{n}}=\left(0.X_{1}X_{2}\cdots X_{n}\right)_{(2)} Z n = 2 X 1 + 2 2 X 2 + ⋯ + 2 n X n = ( 0. X 1 X 2 ⋯ X n ) ( 2 ) 이고, 1 2 + 1 2 m = ( 0. X 1 X 2 ⋯ X m − 1 X m X m + 1 ⋯ X n ) ( 2 ) = ( 0.1 0 ⋯ 0 1 0 ⋯ 0 ) ( 2 ) \displaystyle \begin{aligned} \frac{1}{2}+\frac{1}{2^{m}} &= \left(0.X_{1}X_{2}\cdots X_{m-1}X_{m}X_{m+1}\cdots X_{n}\right)_{(2)} \\ &= \left(0.1\ 0\ \cdots\ 0\,1\,0\ \cdots\ 0\right)_{(2)} \end{aligned} 2 1 + 2 m 1 = ( 0. X 1 X 2 ⋯ X m − 1 X m X m + 1 ⋯ X n ) ( 2 ) = ( 0.1 0 ⋯ 0 1 0 ⋯ 0 ) ( 2 ) 이다. 즉, 소수 첫 번째와 m \displaystyle m m 번째 자리가 1이다. Z n ≥ 1 2 + 1 2 m \displaystyle Z_{n}\ge\frac{1}{2}+\frac{1}{2^{m}} Z n ≥ 2 1 + 2 m 1 이려면 X 1 = 1 \displaystyle X_{1}=1 X 1 = 1 이고 X 2 , ⋯ , X m \displaystyle X_{2},\cdots,X_{m} X 2 , ⋯ , X m 중에 적어도 하나가 1 이어야 함. 따라서P ( Z n ≥ 1 2 + 1 2 m ) = P ( X 1 = 1 ) [ 1 − { P ( X 2 = 0 ) ⋯ P ( X m = 0 ) } ] = 1 2 ( 1 − 1 2 m − 1 ) = 1 2 − 1 2 m \displaystyle \begin{aligned} \mathrm{P}\left(Z_{n}\ge\frac{1}{2}+\frac{1}{2^{m}}\right) &= \mathrm{P}(X_{1}=1)\left[1-\left\{\mathrm{P}(X_{2}=0)\cdots\mathrm{P}(X_{m}=0)\right\}\right] \\ &= \frac{1}{2}\left(1-\frac{1}{2^{m-1}}\right)=\frac{1}{2}-\frac{1}{2^{m}} \end{aligned} P ( Z n ≥ 2 1 + 2 m 1 ) = P ( X 1 = 1 ) [ 1 − { P ( X 2 = 0 ) ⋯ P ( X m = 0 ) } ] = 2 1 ( 1 − 2 m − 1 1 ) = 2 1 − 2 m 1
(3) · 주어진 영역에 부합하는 X k \displaystyle X_{k} X k 값들을 제대로 파악할 수 있는가? (3) P ( ∣ Z n − 1 2 ∣ < 1 2 m ) = 1 − P ( Z n ≥ 1 2 + 1 2 m ) − P ( Z n ≤ 1 2 − 1 2 m ) \displaystyle \mathrm{P}\left(\left|Z_{n}-\frac{1}{2}\right|<\frac{1}{2^{m}}\right)=1-\mathrm{P}\left(Z_{n}\ge\frac{1}{2}+\frac{1}{2^{m}}\right)-\mathrm{P}\left(Z_{n}\le\frac{1}{2}-\frac{1}{2^{m}}\right) P ( Z n − 2 1 < 2 m 1 ) = 1 − P ( Z n ≥ 2 1 + 2 m 1 ) − P ( Z n ≤ 2 1 − 2 m 1 ) 이므로, 먼저 확률 P ( Z n ≤ 1 2 − 1 2 m ) \displaystyle \mathrm{P}\left(Z_{n}\le\frac{1}{2}-\frac{1}{2^{m}}\right) P ( Z n ≤ 2 1 − 2 m 1 ) 을 계산하여 보자. 1 2 − 1 2 m = ( 0. X 1 X 2 ⋯ X m X m + 1 ⋯ X n ) ( 2 ) = ( 0.0 1 ⋯ 1 0 ⋯ 0 ) ( 2 ) \displaystyle \begin{aligned} \frac{1}{2}-\frac{1}{2^{m}} &= \left(0.X_{1}X_{2}\cdots X_{m}X_{m+1}\cdots X_{n}\right)_{(2)} \\ &= \left(0.0\ 1\ \cdots\ 1\,0\ \cdots\ 0\right)_{(2)} \end{aligned} 2 1 − 2 m 1 = ( 0. X 1 X 2 ⋯ X m X m + 1 ⋯ X n ) ( 2 ) = ( 0.0 1 ⋯ 1 0 ⋯ 0 ) ( 2 ) 이다. 즉, 소수 두 번째 자리부터 m \displaystyle m m 번째 자리까지가 1이다. 그러므로, Z n ≤ 1 2 − 1 2 m \displaystyle Z_{n}\le\frac{1}{2}-\frac{1}{2^{m}} Z n ≤ 2 1 − 2 m 1 이려면 X 1 = 0 \displaystyle X_{1}=0 X 1 = 0 이고 X 2 , ⋯ , X m \displaystyle X_{2},\cdots,X_{m} X 2 , ⋯ , X m 가운데 적어도 하나가 0 이거나, 혹은 X 2 , ⋯ , X m \displaystyle X_{2},\cdots,X_{m} X 2 , ⋯ , X m 모두 1이고 X m + 1 , ⋯ , X n \displaystyle X_{m+1},\cdots,X_{n} X m + 1 , ⋯ , X n 은 모두 0 이어야 함.
(3) · 여사건을 이용하여 확률의 극한값을 제대로 구할 수 있는가? 그러므로 P ( Z n ≤ 1 2 − 1 2 m ) = P ( X 1 = 0 ) [ ( 1 − { P ( X 2 = 1 ) ⋯ P ( X m = 1 ) } ) + ( P ( X 2 = 1 ) ⋯ P ( X m = 1 ) ⋅ P ( X m + 1 = 0 ) ⋯ P ( X n = 0 ) ) ] = 1 2 ( 1 − ( 1 2 ) m − 1 + ( 1 2 ) n − 1 ) = 1 2 − ( 1 2 ) m + ( 1 2 ) n \displaystyle \begin{aligned} \mathrm{P}\left(Z_{n}\le\frac{1}{2}-\frac{1}{2^{m}}\right) &= \mathrm{P}(X_{1}=0)\Big[\left(1-\left\{\mathrm{P}(X_{2}=1)\cdots\mathrm{P}(X_{m}=1)\right\}\right) \\ &\qquad+\left(\mathrm{P}(X_{2}=1)\cdots\mathrm{P}(X_{m}=1)\cdot\mathrm{P}(X_{m+1}=0)\cdots\mathrm{P}(X_{n}=0)\right)\Big] \\ &= \frac{1}{2}\left(1-\left(\frac{1}{2}\right)^{m-1}+\left(\frac{1}{2}\right)^{n-1}\right) \\ &= \frac{1}{2}-\left(\frac{1}{2}\right)^{m}+\left(\frac{1}{2}\right)^{n} \end{aligned} P ( Z n ≤ 2 1 − 2 m 1 ) = P ( X 1 = 0 ) [ ( 1 − { P ( X 2 = 1 ) ⋯ P ( X m = 1 ) } ) + ( P ( X 2 = 1 ) ⋯ P ( X m = 1 ) ⋅ P ( X m + 1 = 0 ) ⋯ P ( X n = 0 ) ) ] = 2 1 ( 1 − ( 2 1 ) m − 1 + ( 2 1 ) n − 1 ) = 2 1 − ( 2 1 ) m + ( 2 1 ) n 따라서 lim n → ∞ P ( ∣ Z n − 1 2 ∣ < 1 2 m ) = lim n → ∞ { 1 − ( 1 − 2 2 m + 1 2 n ) } = 1 2 m − 1 \displaystyle \begin{aligned} \lim_{n\to\infty}\mathrm{P}\left(\left|Z_{n}-\frac{1}{2}\right|<\frac{1}{2^{m}}\right) &= \lim_{n\to\infty}\left\{1-\left(1-\frac{2}{2^{m}}+\frac{1}{2^{n}}\right)\right\} \\ &= \frac{1}{2^{m-1}} \end{aligned} n → ∞ lim P ( Z n − 2 1 < 2 m 1 ) = n → ∞ lim { 1 − ( 1 − 2 m 2 + 2 n 1 ) } = 2 m − 1 1