20 cars are tested for their mileage the mileage follows a normal distribution with an average of 12 km per hour and a standard deviation of 3 kilometre per hour
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Step-by-step explanation:
Let x be the random variable that represents the speed of cars.
x has μ=90,σ=10.
We have to find the probability that x is higher than 100 or P(x>100)
Given x,z=
σ
x−μ
.
Thus for x=100,z=
10
100−90
=1
⇒P(x>100)=P(z=1)
= [total area]−[area to the left of z=1]
=1−0.8413 (from normal distribution table)
∴P(x>100)=0.1587
Hence the probability that a car selected at a random has a speed greater than 100 km/hr is equal to 0.1587.
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