i)
N ( x ; μ , σ 2 ) = 1 2 π σ 2 e − 1 2 ( x − μ ) 2 / σ 2 N(x; \mu,\sigma^2) =\dfrac{1}{\sqrt{2\pi\sigma^2}}
e^{-{1 \over 2}(x-\mu)^2/\sigma^2} N ( x ; μ , σ 2 ) = 2 π σ 2 1 e − 2 1 ( x − μ ) 2 / σ 2 Then μ = − 11 , σ 2 = 49. \mu=-11, \sigma^2=49. μ = − 11 , σ 2 = 49.
The moment generating function corresponding to the normal probability density functionN ( x ; µ , σ 2 ) N(x; µ, σ^2) N ( x ; µ , σ 2 ) is the function M x ( t ) = e x p { μ t + σ 2 t 2 / 2 } M_{x}(t) = exp\{{\mu t + σ^2t ^2/2}\} M x ( t ) = e x p { μ t + σ 2 t 2 /2 }
M x ( t ) = e x p { − 11 t + 49 t 2 / 2 } M_{x}(t) = exp\{{-11 t + 49t ^2/2}\} M x ( t ) = e x p { − 11 t + 49 t 2 /2 }
ii)
P ( − 3 > − X > 13 ) = P ( − 13 < X < 3 ) P(-3>-X>13)=P(-13<X<3) P ( − 3 > − X > 13 ) = P ( − 13 < X < 3 )
= P ( X < 3 ) − P ( X ≤ − 13 ) =P(X<3)-P(X\leq-13) = P ( X < 3 ) − P ( X ≤ − 13 )
= P ( Z < 3 − ( − 11 ) 7 ) − P ( Z ≤ − 13 − ( − 11 ) 7 ) =P(Z<\dfrac{3-(-11)}{7})-P(Z\leq\dfrac{-13-(-11)}{7}) = P ( Z < 7 3 − ( − 11 ) ) − P ( Z ≤ 7 − 13 − ( − 11 ) )
= P ( Z < 2 ) − P ( Z ≤ − 0.2857 ) =P(Z<2)-P(Z\leq-0.2857) = P ( Z < 2 ) − P ( Z ≤ − 0.2857 )
= 0.9772499 − 0.3875485 = 0.589701 =0.9772499-0.3875485=0.589701 = 0.9772499 − 0.3875485 = 0.589701 iii)
P ( ∣ X + C ∣ ≥ 11 ) = 0.0614 P(|X+C|\geq11)=0.0614 P ( ∣ X + C ∣ ≥ 11 ) = 0.0614
P ( X ≤ − 11 − C ) = 0.0307 P(X\leq-11-C)=0.0307 P ( X ≤ − 11 − C ) = 0.0307
P ( Z ≤ − 11 − C − ( − 11 ) 7 ) = 0.0307 P(Z\leq\dfrac{-11-C-(-11)}{7})=0.0307 P ( Z ≤ 7 − 11 − C − ( − 11 ) ) = 0.0307
P ( Z ≤ − C 7 ) = 0.0307 P(Z\leq\dfrac{-C}{7})=0.0307 P ( Z ≤ 7 − C ) = 0.0307
− C 7 = − 1.870604 \dfrac{-C}{7}=-1.870604 7 − C = − 1.870604 C = 13.094228 C=13.094228 C = 13.094228
iv)
P ( Z ≤ z ) = 0.0031 P(Z\leq z)=0.0031 P ( Z ≤ z ) = 0.0031
z = − 2.737012 z=-2.737012 z = − 2.737012
− z = 2.737012 -z=2.737012 − z = 2.737012
x − ( − 11 ) 7 = − 2.737012 \dfrac{x-(-11)}{7}=-2.737012 7 x − ( − 11 ) = − 2.737012
x = − 30.159 x=-30.159 x = − 30.159
− x = 30.159 -x=30.159 − x = 30.159
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