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A study found that the mean seconds, complete The probability that a randomly se

ID: 3065180 • Letter: A

Question

A study found that the mean seconds, complete The probability that a randomly seolected car will get through the restaurant's drive-through in less than 100 seconds is (Round to four decimal places as needed) more than 200 seconds in the restaurant's drive-through? The probablity that a randomly selected car will spend more than 200 seconds in the restaurant's drive-through is (c) What proportion of cars spend The proportion of cars that spend between 2 and 3 minutes in the restaurant's drive-through is 3 minutes in the restaurant's drive-through? to four decimal places as needed ) han 0.06 Round to four decimal olaces as needed.)

Explanation / Answer

X ~ N(141.4 , 322)

By central limit theorem

Z = ( X -141.4)/32 ~ N(0,1)

a) Required probability = P( X < 100)

= P ( (X - 141.4)/32 < (100 -141.4)/32)

= P(Z < -1.2937)

From Normal probability table

P(Z < -1.2937) = 0.0978

The probability that a randomly selected car will go through the restaurant driver-through in less than 100 sec is

0.0978

b ) Required Probability = P ( X >200)

= P ( (X - 141.4)/32 >(200 -141.4)/32)

= P(Z > 1.8312)

From Normal probability table

P(Z >1.8312) = 0.0335

The probability that a randomly selected car will spend more than 200 seconds in the restaurant driver-through is

0.0335

c) Required probability = P ( 2 min < X < 3min)

= P ( X > 2 min) - P (X > 3 min)

= P ( X >120 ) - P( X > 180)

=P ( (X - 141.4)/32 >(120 -141.4)/32) - P ( (X - 141.4)/32 >(180 -141.4)/32)

=P ( Z> -0.6687) - P ( Z > 1.2062)

From normal probability table

P ( Z> -0.6687) = 0.7482 and  P ( Z > 1.2062) = 0.1139

P ( 2 min < X < 3min) = 0.7482 - 0.1139 = 0.6343

The propertion of car that spend between 2 and 3 minutes in the restaurant driver through is 0.6343 ( 63.43%)

d) The probability that a car spends more than 3 minutes in the restaurant driver through is 0.1139 ( P (X >3 ) = P(Z > 1.2062) = 0.1139) so it not be unusual since the probability is greater than 0.05