In: Statistics and Probability
The graph illustrates a normal distribution for the prices paid
for a particular model of HD television. The mean price paid is
$1000 and the standard deviation is $70.
7908609301000107011401210Distribution of Prices
What is the approximate percentage of buyers who paid more than
$1210?
%
What is the approximate percentage of buyers who paid between $1000
and $1210?
%
What is the approximate percentage of buyers who paid more than
$1140?
%
What is the approximate percentage of buyers who paid between $860
and $1000?
%
What is the approximate percentage of buyers who paid between $930
and $1070?
%
What is the approximate percentage of buyers who paid between $1000
and $1070?
%
Part a)
X ~ N ( µ = 1000 , σ = 70 )
P ( X > 1210 ) = 1 - P ( X < 1210 )
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 1210 - 1000 ) / 70
Z = 3
P ( ( X - µ ) / σ ) > ( 1210 - 1000 ) / 70 )
P ( Z > 3 )
P ( X > 1210 ) = 1 - P ( Z < 3 )
P ( X > 1210 ) = 1 - 0.9987
P ( X > 1210 ) = 0.0013
Percentage = 0.13%
Part b)
X ~ N ( µ = 1000 , σ = 70 )
P ( 1000 < X < 1210 )
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 1000 - 1000 ) / 70
Z = 0
Z = ( 1210 - 1000 ) / 70
Z = 3
P ( 0 < Z < 3 )
P ( 1000 < X < 1210 ) = P ( Z < 3 ) - P ( Z < 0 )
P ( 1000 < X < 1210 ) = 0.9987 - 0.5
P ( 1000 < X < 1210 ) = 0.4987
Percentage = 49.87%
Part c)
X ~ N ( µ = 1000 , σ = 70 )
P ( X > 1140 ) = 1 - P ( X < 1140 )
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 1140 - 1000 ) / 70
Z = 2
P ( ( X - µ ) / σ ) > ( 1140 - 1000 ) / 70 )
P ( Z > 2 )
P ( X > 1140 ) = 1 - P ( Z < 2 )
P ( X > 1140 ) = 1 - 0.9772
P ( X > 1140 ) = 0.0228
Percentage = 2.28%
Part d)
X ~ N ( µ = 1000 , σ = 70 )
P ( 860 < X < 1000 )
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 860 - 1000 ) / 70
Z = -2
Z = ( 1000 - 1000 ) / 70
Z = 0
P ( -2 < Z < 0 )
P ( 860 < X < 1000 ) = P ( Z < 0 ) - P ( Z < -2 )
P ( 860 < X < 1000 ) = 0.5 - 0.0228
P ( 860 < X < 1000 ) = 0.4772
Percentage = 47.72%
Part e)
X ~ N ( µ = 1000 , σ = 70 )
P ( 930 < X < 1070 )
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 930 - 1000 ) / 70
Z = -1
Z = ( 1070 - 1000 ) / 70
Z = 1
P ( -1 < Z < 1 )
P ( 930 < X < 1070 ) = P ( Z < 1 ) - P ( Z < -1 )
P ( 930 < X < 1070 ) = 0.8413 - 0.1587
P ( 930 < X < 1070 ) = 0.6827
Percentage = 68.27%
Part f)
X ~ N ( µ = 1000 , σ = 70 )
P ( 1000 < X < 1070 )
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 1000 - 1000 ) / 70
Z = 0
Z = ( 1070 - 1000 ) / 70
Z = 1
P ( 0 < Z < 1 )
P ( 1000 < X < 1070 ) = P ( Z < 1 ) - P ( Z < 0 )
P ( 1000 < X < 1070 ) = 0.8413 - 0.5
P ( 1000 < X < 1070 ) = 0.3413
Percentage = 34.13%