Several intelligence tests follow a normal distribution with a mean of 100 and a standard deviation of 15.
a. Determine the percentage of the population that would obtain a score between 95 and 110.
b. For a population of 2,500, how many are expected to have a score above 125?
a. "P(95<X<110)"
"P(95<X<110)=P(\\frac{95-100}{15}<Z<\\frac{110-100}{15})"
"=P(Z<0.6667)-P(Z< -0.3333)"
"=0.7475-0.3694=0.3781"
Thus, 37.81% of the population would obtain scores between 95 and 110
b. "P(X>125)=1-P(X<125)"
"=1-P(Z<\\frac{125-100}{15})=1-P(Z<\\frac{5}{3})=1-0.9522=0.0478"
For a population of 2,500,
"2500\\times0.0478=119.5"
Thus, 120 people out of 2500 will score above 125.
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