Answer: Mean would be 0.455 and standard deviation would be 15.926.
Step-by-step explanation:
Since we have given that
P(Z>z)=20%
So, 1-P(Z≤z)=0.2
P(Z≤z)=1-0.2=0.8
Using the normal table, we get that
z = 0.845
[tex]\dfrac{\bar{x}-\mu}{\sigma}\\\\\dfrac{16.31-\mu}\sigma}=0.845\\\\16.31-\mu=0.845\times \sigma----------------(1)[/tex]
Now, P(Z≤z) = 10%= 0.10
So, z = -1.28
[tex]\dfrac{\bar{x}-\mu}{\sigma}=-1.28\\\\\dfrac{15.34-\mu}{\sigma}=-1.28\\\\15.34-\mu=-1.28\sigma----------(2)[/tex]
From, eq(1) and (2), we get that
μ = 0.455 and σ = 15.926.
Hence, mean would be 0.455 and standard deviation would be 15.926.