Exercise 1:
The average lifespan of a certain electronic component is 850 days
and a standard deviation of 40 days. Knowing that the duration is
normally distributed, calculate the probability that this component
will last:
a) between 700 and 1000 days;
b) more than 800 days;
c) less than 750 days.
Exercise 2:
A survey reports that 86% of users use Internet Explorer as a
browser. You randomly select 200 users and ask them if they use
Internet Explorer as a browser. What is the probability that
exactly 176 people will answer yes?
1)
a)
X ~ N ( µ = 850 , σ = 40 )
P ( 700 < X < 1000 ) = ?
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 700 - 850 ) / 40
Z = -3.75
Z = ( 1000 - 850 ) / 40
Z = 3.75
P ( -3.75 < Z < 3.75 )
P ( 700 < X < 1000 ) = P ( Z < 3.75 ) - P ( Z < -3.75
)
P ( 700 < X < 1000 ) = 0.9999 - 0.0001
P ( 700 < X < 1000 ) = 0.9998
b)
P ( X > 800 ) = 1 - P ( X < 800 )
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 800 - 850 ) / 40
Z = -1.25
P ( ( X - µ ) / σ ) > ( 800 - 850 ) / 40 )
P ( Z > -1.25 )
P ( X > 800 ) = 1 - P ( Z < -1.25 )
P ( X > 800 ) = 1 - 0.1056
P ( X > 800 ) = 0.8944
c)
P ( X < 750 ) = ?
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 750 - 850 ) / 40
Z = -2.5
P ( ( X - µ ) / σ ) < ( 750 - 850 ) / 40 )
P ( X < 750 ) = P ( Z < -2.5 )
P ( X < 750 ) = 0.0062
2)
Using Normal Approximation to Binomial
Mean = n * P = ( 200 * 0.86 ) = 172
Variance = n * P * Q = ( 200 * 0.86 * 0.14 ) = 24.08
Standard deviation = √(variance) = √(24.08) = 4.9071
P ( X = 176 ) = ?
Using continuity correction
P ( n - 0.5 < X < n + 0.5 ) = P ( 176 - 0.5 < X < 176 +
0.5 )
= P ( 175.5 < X < 176.5 )
Standardizing the value
Z = ( X - µ ) / σ
Z = ( 175.5 - 172 ) / 4.9071
Z = 0.71
Z = ( 176.5 - 172 ) / 4.9071
Z = 0.92
P ( 0.71 < Z < 0.92 )
P ( 175.5 < X < 176.5 ) = P ( Z < 0.92 ) - P ( Z < 0.71
)
P ( 175.5 < X < 176.5 ) = 0.8212 - 0.7611
P ( 175.5 < X < 176.5 ) = 0.0601
Exercise 1: The average lifespan of a certain electronic component is 850 days and a standard...
6. Pedestrian Deaths A researcher wanted to determinse whether pedestrian deaths were uniformly distributed over the days of the week. She randomly selected 300 pedestrian deaths, recorded the day of the week on which the death occurred, and obtained the following results (the data are based on information obtained from the Insurance Institute for Highway Safety) Day of the Week Sunday Monday Tuesday Wednesday Frequency Day of Frequency the Week Thursday Friday Saturday 41 49 61 39 40 30 40...