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1. Scores on a certain nationwide college entrance examination follow a normal distribution with a mean of 500 and a standard

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Answer #1

Solution :

Given that ,

mean = \mu = 500

standard deviation = \sigma = 100

P(x > 650 ) = 1 - P( x< 650 )

= 1- P[(x - \mu ) / \sigma < ( 650 - 500 ) / 100 ]

= 1- P(z < 1.5 )

Using z table,

= 1 - 0.9332

= 0.0668

Answer = Probability = 0.0668

( b )

P(x < 459 )

= P[(x - \mu ) / \sigma < ( 459 - 500) / 100]

= P(z < -0.41 )

Using z table,

= 0.3409

Answer = Probability = 0.3409

( c )

P( 325 < x < 675 )

= P[( 325 - 500 ) / 100 ) < (x - \mu ) /\sigma  < ( 675 - 500 ) / 100 ) ]

= P( -1.75 < z < 1.75)

= P(z < 1.75 ) - P(z < -1.75)

Using z table,

= 0.9599 - 0.0401

= 0.9198

Answer = Probability = 0.9198

( d )

P(x > 680) = 1 - P( x < 680 )

= 1- P[(x - \mu ) / \sigma < ( 680 - 500) / 100 ]

= 1- P(z < 1.8)

Using z table,

= 1 - 0.9641

= 0.0359

Answer = proportion = 0.0359

( e )

The z - distribution of the 20% is

P(Z > z) = 20%

= 1 - P(Z < z ) = 0.20

= P(Z < ) = 1 - 0.20

= P(Z < z ) = 0.80

= P(Z < 0.842 )

z = 0.842

Using z-score formula,

x = z * \sigma + \mu

x = 0.842 * 100 + 500

x = 584.2

Answer = x = 584.2

( f )

n = 16

\mu\bar x = 500

\sigma\bar x = \sigma / \sqrt n = 100 / \sqrt 16  = 25

The average score \mu \bar x = 500

The standard deviation for the average score \sigma \bar x = 25

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