Part a)
X ~ N ( µ = 2.9 , σ = 1.6 )
Part b)
P ( X < 1.9 )
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 1.9 - 2.9 ) / 1.6
Z = -0.625
P ( ( X - µ ) / σ ) < ( 1.9 - 2.9 ) / 1.6 )
P ( X < 1.9 ) = P ( Z < -0.625 )
P ( X < 1.9 ) = 0.2660
Part c)
X ~ N ( µ = 2.9 , σ = 1.6 )
P ( X > 2.2 ) = 1 - P ( X < 2.2 )
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 2.2 - 2.9 ) / 1.6
Z = -0.4375
P ( ( X - µ ) / σ ) > ( 2.2 - 2.9 ) / 1.6 )
P ( Z > -0.4375 )
P ( X > 2.2 ) = 1 - P ( Z < -0.4375 )
P ( X > 2.2 ) = 1 - 0.3309
P ( X > 2.2 ) = 0.6691
Percentage = 66.91%
Part d)
P ( X > x ) = 1 - P ( X < x ) = 1 - 0.71 = 0.29
To find the value of x
Looking for the probability 0.29 in standard normal table to
calculate Z score = -0.5534
Z = ( X - µ ) / σ
-0.5534 = ( X - 2.9 ) / 1.6
X = 2.0146 ≈ 2.0 hours
P ( X > 2.0146 ) = 0.71
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