P ( X > 42320 ) = 0.0853 ; P ( X < 42320 ) = P ( Z < z 1 ) = = 1 − 0.0853 = 0.9147 ; P ( X < 41230 ) = 0.6103 ; z 1 = 42320 − μ σ ; z 2 = 41230 − μ σ . P(X>42320)=0.0853;\\
P(X<42320)=P(Z<z_1)=\\
=1-0.0853=0.9147;\\
P(X<41230)=0.6103;\\
z_1=\cfrac{42320-\mu}{\sigma};\\
z_2=\cfrac{41230-\mu}{\sigma}. P ( X > 42320 ) = 0.0853 ; P ( X < 42320 ) = P ( Z < z 1 ) = = 1 − 0.0853 = 0.9147 ; P ( X < 41230 ) = 0.6103 ; z 1 = σ 42320 − μ ; z 2 = σ 41230 − μ .
From z-table we find P ( 1.37 ) = 0.9147 , P ( 0.28 ) = 0.6103. P(1.37)=0.9147,P(0.28)=0.6103. P ( 1.37 ) = 0.9147 , P ( 0.28 ) = 0.6103.
So,
{ 42320 − μ σ = 1.37 41230 − μ σ = 0.28 \begin{cases}
\cfrac{42320-\mu}{\sigma}=1.37\\
\cfrac{41230-\mu}{\sigma}=0.28
\end{cases} ⎩ ⎨ ⎧ σ 42320 − μ = 1.37 σ 41230 − μ = 0.28
{ 42320 − μ = 1.37 σ 41230 − μ = 0.28 σ \begin{cases}
42320-\mu=1.37\sigma\\
41230-\mu=0.28\sigma
\end{cases} { 42320 − μ = 1.37 σ 41230 − μ = 0.28 σ
{ μ = 42320 − 1.37 σ μ = 41230 − 0.28 σ \begin{cases}
\mu=42320-1.37\sigma\\
\mu=41230-0.28\sigma
\end{cases} { μ = 42320 − 1.37 σ μ = 41230 − 0.28 σ
42320 − 1.37 σ = 41230 − 0.28 σ 1.09 σ = 1090 σ = 1000 μ = 41230 − 0.28 ⋅ 1000 = 40950. 42320-1.37\sigma=41230-0.28\sigma\\
1.09\sigma=1090\\
\sigma=1000\\
\mu=41230-0.28\cdot1000=40950. 42320 − 1.37 σ = 41230 − 0.28 σ 1.09 σ = 1090 σ = 1000 μ = 41230 − 0.28 ⋅ 1000 = 40950.
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