Question #147380

The mean score of 2000 students appearing for an examination is 34.4 and the standard deviation is 16.6. How many candidates may be expected to obtain marks
i) between 30 and 60
ii) less than 32
iii)greater than 36
iv)between 36 and 39.

Expert's answer

Assume the normality of distribution

Let X=X= the number of candidates: X∼N(μ,σ2)X\sim N(\mu, \sigma^2)

Then Z=X−μσ∼N(0,1)Z=\dfrac{X-\mu}{\sigma}\sim N(0, 1)

Given μ=34.4,σ=16.6,n=2000\mu=34.4, \sigma=16.6,n=2000


i)

P(30≤X≤60)=P(X≤60)−P(X<30)=P(30\leq X\leq60)=P(X\leq60)-P(X<30)=

=P(Z≤60−34.416.6)−P(Z<30−34.416.6)=P(Z\leq\dfrac{60-34.4}{16.6})-P(Z<\dfrac{30-34.4}{16.6})

≈P(Z≤1.54219)−P(Z<−0.26506)\approx P(Z\leq1.54219)-P(Z<-0.26506)

≈0.938486−0.395482≈0.543004\approx0.938486-0.395482\approx0.543004

2000⋅0.543004=10862000\cdot0.543004=1086

There are 1086 candidates between 30 and 60.


ii)


P(X<32)=P(Z<32−34.416.6)P(X<32)=P(Z<\dfrac{32-34.4}{16.6})

≈(Z<−0.14458)≈0.442521\approx (Z<-0.14458)\approx0.442521

2000⋅0.442521=8852000\cdot0.442521=885

There are 885 candidates less than 32.


iii)


P(X>36)=1−P(X≤36)P(X>36)=1-P(X\leq36)

=1−P(Z≤36−34.416.6)=1-P(Z\leq\dfrac{36-34.4}{16.6})

≈1−(Z<0.09639)≈1−0.538393≈0.461607\approx1-(Z<0.09639)\approx1-0.538393\approx0.461607

2000⋅0.461607=9232000\cdot0.461607=923

There are 923 candidates greater than 36.


iv)

P(36≤X≤39)=P(X≤39)−P(X<36)=P(36\leq X\leq39)=P(X\leq39)-P(X<36)=

=P(Z≤39−34.416.6)−P(Z<36−34.416.6)=P(Z\leq\dfrac{39-34.4}{16.6})-P(Z<\dfrac{36-34.4}{16.6})

≈P(Z≤0.27711)−P(Z<0.09639)\approx P(Z\leq0.27711)-P(Z<0.09639)

≈0.609152−0.538393≈0.070759\approx0.609152-0.538393\approx0.070759

2000⋅0.070759=1422000\cdot0.070759=142

There are 142 candidates between 36 and 39.



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