Dhaka University took a test and the final grades have a mean of 100 and a standard deviation of 11. If we can approximate the distribution of these grades by a normal distribution, what percent of the students
a) scored higher than 120?
b) should pass the test (grades≥90)?
c) should fail the test (grades<90)?
Denote
"\\overline{x}=100"
"s=11"
a) "P(X>120)=P(120<X<+\\infty)="
"F(+\\infty)-F\\left(\\dfrac{120-\\overline{x}}{s}\\right)="
"1-F\\left(\\dfrac{120-100}{11}\\right)=" "1-F\\left(\\dfrac{20}{11}\\right)\\approx" "1-F\\left(1.8182\\right)\\approx1-0.9655\\approx0.0345"
Percent of the students scored higher than 120 is "0.0345\\times100=3.45\\%"
b) "P(X\\geq90)=P(90\\leq X<+\\infty)="
"F(+\\infty)-F\\left(\\dfrac{90-\\overline{x}}{s}\\right)="
"1-F\\left(\\dfrac{90-100}{11}\\right)=" "1-F\\left(-\\dfrac{10}{11}\\right)\\approx"
"1-F\\left(-0.9091\\right)\\approx1-0.1817\\approx0.8183"
Percent of the students should pass the test is "0.8183\\times100=81.83\\%"
c) "P(X<90)=P(-\\infty<X<90)="
"F\\left(\\dfrac{90-\\overline{x}}{s}\\right)-F(-\\infty)="
"F\\left(\\dfrac{90-100}{11}\\right)-0=F\\left(-\\dfrac{10}{11}\\right)\\approx" "F(-0.9091)\\approx0.1817"
Percent of the students should fail the test is "0.1817\\times100=18.17\\%"
Note that b) and c) must satisfy "81.83\\%+18.17\\%=100\\%"
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