+10점 · 1-1 1-1. [풀이] 확률변수 X \displaystyle X X 가 정규분포 N ( k , k ) \displaystyle \mathrm{N}(k,k) N ( k , k ) 을 따르므로 확률변수 Z = X − k k \displaystyle Z=\frac{X-k}{\sqrt k} Z = k X − k 은 표준정규분포 N ( 0 , 1 ) \displaystyle \mathrm{N}(0,1) N ( 0 , 1 ) 을 따른다. 따라서, P ( X ≤ − 1 4 ) = P ( Z ≤ − 1 4 − k k ) = 0.1587 \displaystyle \mathrm{P}\left(X\le-\frac14\right)=\mathrm{P}\left(Z\le\frac{-\frac14-k}{\sqrt k}\right)=0.1587 P ( X ≤ − 4 1 ) = P ( Z ≤ k − 4 1 − k ) = 0.1587 에서 P ( Z ≤ − 1.0 ) = 0.1587 \displaystyle \mathrm{P}(Z\le-1.0)=0.1587 P ( Z ≤ − 1.0 ) = 0.1587 이므로 − 1 4 − k k = − 1.0 \displaystyle \frac{-\frac14-k}{\sqrt k}=-1.0 k − 4 1 − k = − 1.0 k + 1 4 = k \displaystyle k+\frac14=\sqrt k k + 4 1 = k ( k + 1 4 ) 2 = k \displaystyle \left(k+\frac14\right)^2=k ( k + 4 1 ) 2 = k k 2 + 1 2 k + 1 16 = k \displaystyle k^2+\frac12k+\frac1{16}=k k 2 + 2 1 k + 16 1 = k k 2 − 1 2 k + 1 16 = 0 \displaystyle k^2-\frac12k+\frac1{16}=0 k 2 − 2 1 k + 16 1 = 0 ( k − 1 4 ) 2 = 0 \displaystyle \left(k-\frac14\right)^2=0 ( k − 4 1 ) 2 = 0 따라서, k = 1 4 = 0.25 \displaystyle k=\frac14=0.25 k = 4 1 = 0.25
+15점 · 1-2 1-2. [풀이] 확률변수 X \displaystyle X X 가 정규분포 N ( 6 , 2 2 ) \displaystyle \mathrm{N}(6,2^2) N ( 6 , 2 2 ) 을 따르므로 확률변수 Z = X − 6 2 \displaystyle Z=\frac{X-6}2 Z = 2 X − 6 은 표준정규분포 N ( 0 , 1 ) \displaystyle \mathrm{N}(0,1) N ( 0 , 1 ) 을 따른다. ∑ n = 1 5 P ( X ≤ 2 n ) = ∑ n = 1 5 P ( Z ≤ 2 n − 6 2 ) = ∑ n = 1 5 P ( Z ≤ n − 3 ) = P ( Z ≤ − 2 ) + P ( Z ≤ − 1 ) + P ( Z ≤ 0 ) + P ( Z ≤ 1 ) + P ( Z ≤ 2 ) \displaystyle \begin{aligned}\sum_{n=1}^5\mathrm{P}(X\le2n)&=\sum_{n=1}^5\mathrm{P}\left(Z\le\frac{2n-6}2\right)=\sum_{n=1}^5\mathrm{P}(Z\le n-3)\\&=\mathrm{P}(Z\le-2)+\mathrm{P}(Z\le-1)+\mathrm{P}(Z\le0)+\mathrm{P}(Z\le1)+\mathrm{P}(Z\le2)\end{aligned} n = 1 ∑ 5 P ( X ≤ 2 n ) = n = 1 ∑ 5 P ( Z ≤ 2 2 n − 6 ) = n = 1 ∑ 5 P ( Z ≤ n − 3 ) = P ( Z ≤ − 2 ) + P ( Z ≤ − 1 ) + P ( Z ≤ 0 ) + P ( Z ≤ 1 ) + P ( Z ≤ 2 ) (여기서, 표준정규분포의 대칭성을 이용하여) = P ( Z ≥ 2 ) + P ( Z ≥ 1 ) + P ( Z ≤ 0 ) + P ( Z ≤ 1 ) + P ( Z ≤ 2 ) = { P ( Z ≥ 2 ) + P ( Z ≤ 2 ) } + { P ( Z ≥ 1 ) + P ( Z ≤ 1 ) } + P ( Z ≤ 0 ) = 1 + 1 + 0.5 = 2.5 = 5 2 \displaystyle \begin{aligned}&=\mathrm{P}(Z\ge2)+\mathrm{P}(Z\ge1)+\mathrm{P}(Z\le0)+\mathrm{P}(Z\le1)+\mathrm{P}(Z\le2)\\&=\{\mathrm{P}(Z\ge2)+\mathrm{P}(Z\le2)\}+\{\mathrm{P}(Z\ge1)+\mathrm{P}(Z\le1)\}+\mathrm{P}(Z\le0)\\&=1+1+0.5\\&=2.5=\frac52\end{aligned} = P ( Z ≥ 2 ) + P ( Z ≥ 1 ) + P ( Z ≤ 0 ) + P ( Z ≤ 1 ) + P ( Z ≤ 2 ) = { P ( Z ≥ 2 ) + P ( Z ≤ 2 )} + { P ( Z ≥ 1 ) + P ( Z ≤ 1 )} + P ( Z ≤ 0 ) = 1 + 1 + 0.5 = 2.5 = 2 5 따라서, p q = 5 2 \displaystyle \frac pq=\frac52 q p = 2 5 이므로 p + q = 5 + 2 = 7 \displaystyle p+q=5+2=7 p + q = 5 + 2 = 7 .
+15점 · 1-3 1-3. [풀이] 크기가 n \displaystyle n n 인 표본을 임의추출하여 구한 표본평균의 값을 x ‾ \displaystyle \overline{x} x 라 하자. 모표준편차 0.5 \displaystyle 0.5 0.5 이므로 모평균 m \displaystyle m m 에 대한 신뢰도 99 % \displaystyle 99\% 99% 인 신뢰구간은 다음과 같다. x ‾ − 2.58 × 0.5 n ≤ m ≤ x ‾ + 2.58 × 0.5 n \displaystyle \overline{x}-2.58\times\frac{0.5}{\sqrt n}\le m\le\overline{x}+2.58\times\frac{0.5}{\sqrt n} x − 2.58 × n 0.5 ≤ m ≤ x + 2.58 × n 0.5 이 때, a ≤ m ≤ b \displaystyle a\le m\le b a ≤ m ≤ b 에서 b − a = 2 × 2.58 × 0.5 n \displaystyle b-a=2\times2.58\times\frac{0.5}{\sqrt n} b − a = 2 × 2.58 × n 0.5 이므로2 × 2.58 × 0.5 n ≤ 0.258 \displaystyle 2\times2.58\times\frac{0.5}{\sqrt n}\le0.258 2 × 2.58 × n 0.5 ≤ 0.258 n ≥ 10 \displaystyle \sqrt n\ge10 n ≥ 10 양변을 제곱하면 n ≥ 100 \displaystyle n\ge100 n ≥ 100 따라서, 자연수 n \displaystyle n n 의 최솟값은 100 \displaystyle 100 100 이다.