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3. The speeds of cars passing a speed camera have approximately a normally distribution with mean 54 km/h and standard deviat
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Answer #1

Let Xkm/hr denotes the speed of cars.

X~Normal(mean=54,SD=3)

(a) We need to find the percentage of cars that travels between 48 km/h and 60 km/hr. That is we need to find

P(48<X<60)

= P((48-mean)/SD < (X-mean)/SD < (60-mean)/SD)

=P( (48-54)/3 < (X-54)/3 < (60-54)/3)

=P(-2< Z<2)

=P(Z< 2) -P(Z<-2)

=P(Z<2) -1 +P(Z<2)

=2*P(Z<2)-1

=2*0.9772-1 [From normal table]

=0.9544

Ans: 0.9544 or 95.44%.

(b) We know for a normal distribution, 99.7% observations are within ± 3ơ limit. That is 99.7% observations will fall between mean - 3*standard deviation and mean+3*standard deviation.

mean-3*SD =54-3*3=54-9=45

and mean +3*SD=54+3*3=54+9=63

So almost all cars are expected to travel between 45km/h and 63km/h (Ans)

(c) Cars are photographed if they have speed of 57km/hr or more.

So cars are not photographed if they have speed less than 57km/hr.

So we are required to find:

P(X<57)

=P((X-mean)/SD < (57-mean)/SD)

=P(Z<(57-54)/3)

=P(Z<1)

=0.8413 [From normal table)

Hence 0.8413 or 84.13% of the cars are not photographed.

(d) Probability cars are photographed

=P(X≥57)

=1-P(X<57)

=1-0.8413 [From part (c) P(X<57)=0.841]

=0.1587

So among 450 cars, 450*0.1587=71.415=71(approx) cars are expected to be photographed.

Ans : 71 cars.

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