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Scores on a college entrance examination are normally distributed with a mean of 500 and a standard deviation of 100. What percent of people who write this exam obtain scores between 350 and 650?

User Meyquel
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1 Answer

2 votes

Answer:

The percentage is
P(350 < X 650 ) = 86.6\%

Explanation:

From the question we are told that

The population mean is
\mu = 500

The standard deviation is
\sigma = 100

The percent of people who write this exam obtain scores between 350 and 650


P(350 < X 650 ) = P(( 350 - 500)/( 100) <( X - \mu )/( \sigma ) < (650 - 500)/( 100) )

Generally


(X - \mu )/(\sigma ) = Z (The \ standardized \ value \ of \ X )


P(350 < X 650 ) = P(( 350 - 500)/( 100) <Z < (650 - 500)/( 100) )


P(350 < X 650 ) = P(-1.5<Z < 1.5 )


P(350 < X 650 ) = P(Z < 1.5) - P(Z < -1.5)

From the z-table
P(Z < -1.5 ) = 0.066807

and
P(Z < 1.5 ) = 0.93319

=>
P(350 < X 650 ) = 0.93319 - 0.066807

=>
P(350 < X 650 ) = 0.866

Therefore the percentage is
P(350 < X 650 ) = 86.6\%

User Nikhil Unni
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