+7점 · σ = 2 3 \displaystyle \sigma=\frac23 σ = 3 2 을 제시 [논제 1] 표본평균 X ‾ \displaystyle \overline X X 는 정규분포 N ( m , σ 2 n ) \displaystyle \mathrm{N}\left(m,\frac{\sigma^2}n\right) N ( m , n σ 2 ) 을 따르므로, Z = X ‾ − m σ n \displaystyle Z=\frac{\overline X-m}{\frac\sigma{\sqrt n}} Z = n σ X − m 로 표준화하면, P ( X ‾ ≥ m + 1 n ) = P ( X ‾ − m σ n ≥ 1 σ ) = P ( Z ≥ 1 σ ) = 0.0668 \displaystyle \mathrm{P}\left(\overline X\ge m+\frac1{\sqrt n}\right)=\mathrm{P}\left(\frac{\overline X-m}{\frac\sigma{\sqrt n}}\ge\frac1\sigma\right)=\mathrm{P}\left(Z\ge\frac1\sigma\right)=0.0668 P ( X ≥ m + n 1 ) = P ( n σ X − m ≥ σ 1 ) = P ( Z ≥ σ 1 ) = 0.0668 따라서 P ( 0 ≤ Z ≤ 1 σ ) = 0.5 − 0.0668 = 0.4332 \displaystyle \mathrm{P}\left(0\le Z\le\frac1\sigma\right)=0.5-0.0668=0.4332 P ( 0 ≤ Z ≤ σ 1 ) = 0.5 − 0.0668 = 0.4332 이며 표준정규분포표로부터 1 σ = 1.5 \displaystyle \frac1\sigma=1.5 σ 1 = 1.5 , 즉, σ = 2 3 \displaystyle \sigma=\frac23 σ = 3 2 이다.
+5점 · ∑ k = 1 10 ∣ h ( 1 5 − k 5 ) − h ( − k 5 ) ∣ = h ( − 2 ) − h ( 0 ) \displaystyle \sum_{k=1}^{10}\left|h\left(\frac15-\frac k5\right)-h\left(-\frac k5\right)\right|=h(-2)-h(0) k = 1 ∑ 10 h ( 5 1 − 5 k ) − h ( − 5 k ) = h ( − 2 ) − h ( 0 ) 임을 제시 그러므로 h ( x ) = P ( n ( X ‾ − m ) ≤ − x ) = P ( X ‾ − m σ n ≤ − x σ ) = P ( Z ≤ − 3 2 x ) \displaystyle h(x)=\mathrm{P}(\sqrt n(\overline X-m)\le-x)=\mathrm{P}\left(\frac{\overline X-m}{\frac\sigma{\sqrt n}}\le-\frac x\sigma\right)=\mathrm{P}\left(Z\le-\frac32x\right) h ( x ) = P ( n ( X − m ) ≤ − x ) = P ( n σ X − m ≤ − σ x ) = P ( Z ≤ − 2 3 x ) 이다. 따라서 h ( x ) \displaystyle h(x) h ( x ) 는 감소함수이므로 ∑ k = 1 10 ∣ h ( 1 5 − k 5 ) − h ( − k 5 ) ∣ = ( h ( − 1 5 ) − h ( 0 ) ) + ( h ( − 2 5 ) − h ( − 1 5 ) ) + ⋯ + ( h ( − 2 ) − h ( − 9 5 ) ) = h ( − 2 ) − h ( 0 ) \displaystyle \begin{aligned}&\sum_{k=1}^{10}\left|h\left(\frac15-\frac k5\right)-h\left(-\frac k5\right)\right|\\&=\left(h\left(-\frac15\right)-h(0)\right)+\left(h\left(-\frac25\right)-h\left(-\frac15\right)\right)+\cdots+\left(h(-2)-h\left(-\frac95\right)\right)\\&=h(-2)-h(0)\end{aligned} k = 1 ∑ 10 h ( 5 1 − 5 k ) − h ( − 5 k ) = ( h ( − 5 1 ) − h ( 0 ) ) + ( h ( − 5 2 ) − h ( − 5 1 ) ) + ⋯ + ( h ( − 2 ) − h ( − 5 9 ) ) = h ( − 2 ) − h ( 0 )
+8점 · 정답을 제시 이다. 그런데 h ( − 2 ) = P ( Z ≤ 3 ) , h ( 0 ) = P ( Z ≤ 0 ) \displaystyle h(-2)=\mathrm{P}(Z\le3),h(0)=\mathrm{P}(Z\le0) h ( − 2 ) = P ( Z ≤ 3 ) , h ( 0 ) = P ( Z ≤ 0 ) 이므로 ∑ k = 1 10 ∣ h ( 1 5 − k 5 ) − h ( − k 5 ) ∣ = h ( − 2 ) − h ( 0 ) = P ( 0 ≤ Z ≤ 3 ) = 0.4987 \displaystyle \sum_{k=1}^{10}\left|h\left(\frac15-\frac k5\right)-h\left(-\frac k5\right)\right|=h(-2)-h(0)=\mathrm{P}(0\le Z\le3)=0.4987 k = 1 ∑ 10 h ( 5 1 − 5 k ) − h ( − 5 k ) = h ( − 2 ) − h ( 0 ) = P ( 0 ≤ Z ≤ 3 ) = 0.4987 이다.
+10점 · n = 25 \displaystyle n=25 n = 25 를 제시 [논제 2] X ‾ \displaystyle \overline X X 는 정규분포 N ( m , σ 2 n ) \displaystyle \mathrm{N}\left(m,\frac{\sigma^2}n\right) N ( m , n σ 2 ) , Y \displaystyle Y Y 는 정규분포 N ( m + 2 , 4 σ 2 ) \displaystyle \mathrm{N}(m+2,4\sigma^2) N ( m + 2 , 4 σ 2 ) 을 각각 따르므로, 조건 P ( X ‾ ≤ m + 1 ) = P ( Y ≤ m + 12 ) \displaystyle \mathrm{P}(\overline X\le m+1)=\mathrm{P}(Y\le m+12) P ( X ≤ m + 1 ) = P ( Y ≤ m + 12 ) 에서 P ( X ‾ − m σ n ≤ 1 σ n ) = P ( Y − m − 2 2 σ ≤ 10 2 σ ) \displaystyle \mathrm{P}\left(\frac{\overline X-m}{\frac\sigma{\sqrt n}}\le\frac1{\frac\sigma{\sqrt n}}\right)=\mathrm{P}\left(\frac{Y-m-2}{2\sigma}\le\frac{10}{2\sigma}\right) P ( n σ X − m ≤ n σ 1 ) = P ( 2 σ Y − m − 2 ≤ 2 σ 10 ) 이다. 따라서 P ( Z ≤ n σ ) = P ( Z ≤ 5 σ ) \displaystyle \mathrm{P}\left(Z\le\frac{\sqrt n}\sigma\right)=\mathrm{P}\left(Z\le\frac5\sigma\right) P ( Z ≤ σ n ) = P ( Z ≤ σ 5 )
+15점 · 정답을 제시 이므로 n = 25 \displaystyle n=25 n = 25 이다. 이로부터 P ( ∣ X ‾ − m ∣ ≥ a ) = P ( ∣ X ‾ − m σ 25 ∣ ≥ a σ 25 ) = P ( ∣ Z ∣ ≥ 5 a σ ) = 0.0124 \displaystyle \mathrm{P}(|\overline X-m|\ge a)=\mathrm{P}\left(\left|\frac{\overline X-m}{\frac\sigma{\sqrt{25}}}\right|\ge\frac a{\frac\sigma{\sqrt{25}}}\right)=\mathrm{P}\left(|Z|\ge\frac{5a}\sigma\right)=0.0124 P ( ∣ X − m ∣ ≥ a ) = P ( 25 σ X − m ≥ 25 σ a ) = P ( ∣ Z ∣ ≥ σ 5 a ) = 0.0124 이므로 P ( ∣ Z ∣ ≤ 5 a σ ) = 1 − 0.0124 = 0.9876 \displaystyle \mathrm{P}\left(|Z|\le\frac{5a}\sigma\right)=1-0.0124=0.9876 P ( ∣ Z ∣ ≤ σ 5 a ) = 1 − 0.0124 = 0.9876 이다. P ( 0 ≤ Z ≤ 5 a σ ) = 0.9876 2 = 0.4938 \displaystyle \mathrm{P}\left(0\le Z\le\frac{5a}\sigma\right)=\frac{0.9876}2=0.4938 P ( 0 ≤ Z ≤ σ 5 a ) = 2 0.9876 = 0.4938 에서 표준정규분포 표로부터 5 a σ = 5 2 \displaystyle \frac{5a}\sigma=\frac52 σ 5 a = 2 5 이므로 a = 1 3 \displaystyle a=\frac13 a = 3 1 이다.
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