Part a)
X ~ N ( µ = 9.3 , σ = 1.88 )
P ( X < x ) = 85% = 0.85
To find the value of x
Looking for the probability 0.85 in standard normal table to
calculate Z score = 1.0364
Z = ( X - µ ) / σ
1.0364 = ( X - 9.3 ) / 1.88
X = 11.2484 ≈ 11.25
P ( X < 11.25 ) = 0.85
part b)
X ~ N ( µ = 9.3 , σ = 1.88 )
P ( X > 8.5 ) = 1 - P ( X < 8.5 )
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 8.5 - 9.3 ) / 1.88
Z = -0.4255
P ( ( X - µ ) / σ ) > ( 8.5 - 9.3 ) / 1.88 )
P ( Z > -0.4255 )
P ( X > 8.5 ) = 1 - P ( Z < -0.4255 )
P ( X > 8.5 ) = 1 - 0.3352
P ( X > 8.5 ) = 0.6648
Part c)
X ~ N ( µ = 9.3 , σ = 1.88 )
P ( a < X < b ) = 0.5
Dividing the area 0.5 in two parts we get 0.5/2 = 0.25
since 0.5 area in normal curve is above and below the mean
Area below the mean is a = 0.5 - 0.25
Area above the mean is b = 0.5 + 0.25
Looking for the probability 0.25 in standard normal table to
calculate Z score = -0.6745
Looking for the probability 0.75 in standard normal table to
calculate Z score = 0.6745
Z = ( X - µ ) / σ
-0.6745 = ( X - 9.3 ) / 1.88
a = 8.0319
0.6745 = ( X - 9.3 ) / 1.88
b = 10.5681
P ( 8.0319 < X < 10.5681 ) = 0.5
Q1 = 8.03
Q2 = 10.57
IQR = Q3 - Q1 = 2.54
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