Scores on a certain standardized test, IQ scores, are approximately normally distributed with mean μ = 100 and standard deviation o= 15. Here we are referring to the distribution of scores over a very large population, and we approximate that discrete cumulative distribution function by a normal continuous cumulative distribution function. (a) An individual is selected at random. What is the probability that his score X satisfies 120 < X < 130? (b) Two individuals are selected at random, independently. What is the probability that their scores X and Y satisfy max (X,Y) > 120?

MATLAB: An Introduction with Applications
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Scores on a certain standardized test, IQ scores, are approximately normally
distributed with mean μ = 100 and standard deviation o=15. Here we are referring to
the distribution of scores over a very large population, and we approximate that
discrete cumulative distribution function by a normal continuous cumulative
distribution function.
(a) An individual is selected at random. What is the probability that his score X
satisfies 120 < X < 130?
(b) Two individuals are selected at random, independently. What is the probability
that their scores X and Y satisfy max (X,Y) > 120?
Transcribed Image Text:Scores on a certain standardized test, IQ scores, are approximately normally distributed with mean μ = 100 and standard deviation o=15. Here we are referring to the distribution of scores over a very large population, and we approximate that discrete cumulative distribution function by a normal continuous cumulative distribution function. (a) An individual is selected at random. What is the probability that his score X satisfies 120 < X < 130? (b) Two individuals are selected at random, independently. What is the probability that their scores X and Y satisfy max (X,Y) > 120?
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