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2. 8 points BBBasicStat6 7.R.016. My Notes The Customer Service Center in a large New York department store has determined th
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Answer #1

Solution :

Given that ,

mean = \mu = 9.3

standard deviation = \sigma = 2.5

a) P(x < 10 ) = P[(x - \mu ) / \sigma < (10 - 9.3) /2.5 ]

= P(z < 0.28 )

= 0.6103

probability =0.6103

b)

P(x > 5 ) = 1 - p( x<5 )

=1- p [(x - \mu ) / \sigma < (5 - 9.3) /2.5 ]

=1- P(z < -1.72)

= 1 - 0.0427 = 0.9573

probability = 0.9573

c)

P( 8< x < 15 ) = P[(8 -9.3)/2.5 ) < (x - \mu ) /\sigma  < (15 - 9.3) /2.5 ) ]

= P( -0.52< z < 2.28 )

= P(z < 2.28 ) - P(z < -0.52 )

= 0.9887 - 0.3015 = 0.6872

Probability = 0.6872

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