1.5k views
5 votes
the marks in an examination for a Physics paper have normal distribution with mean μ and variance σ2 . 10% of the students obtain more than 75 marks and 20% of them obtained less than 40 marks. find the value of  μ  and σ​

User Pringles
by
4.8k points

1 Answer

1 vote

Let
X be the random variable for the number of marks a given student receives on the exam.

10% of students obtain more than 75 marks, so


P(X>75)=P\left(\frac{X-\mu}\sigma>\frac{75-\mu}\sigma\right)=P(Z>z_1)=0.10

where
Z follows a standard normal distribution. The critical value for an upper-tail probability of 10% is


P(Z>z_1)=1-F_Z(z_1)=0.10\implies z_1=F_Z^(-1)(0.90)

where
F_Z(z)=P(Z\le z) denotes the CDF of
Z, and
F_Z^(-1) denotes the inverse CDF. We have


z_1=F_Z^(-1)(0.90)\approx1.2816

Similarly, because 20% of students obtain less than 40 marks, we have


P(X<40)=P\left(\frac{X-\mu}\sigma<\frac{40-\mu}\sigma\right)=P(Z<z_2)=0.20

so that


P(Z<z_2)=F_Z(z_2)=0.20\implies z_2=F_Z^(-1)(0.20)\approx-0.8416

Then
\mu,\sigma are such that


\frac{75-\mu}\sigma\approx1.2816\implies75\approx\mu+1.2816\sigma


\frac{40-\mu}\sigma\approx-0.8416\implies40\approx\mu-0.8416\sigma

and we find


\mu\approx53.8739,\sigma\approx16.4848

User TrollBearPig
by
5.2k points