In: Statistics and Probability
A study found that the mean amount of time cars spent in drive-throughs of a certain fast-food restaurant was 1.583 seconds. Assuming drive-through times are normally distributed with a standard deviation of 30 seconds, complete parts (a) through (d) below.
(a) The probability that a randomly selected car will get through the restaurant's drive-through in less than 106 seconds is________
(Round to four decimal places as needed.)
(b)The probability that a randomly selected car will spend more than 215 seconds in the restaurant's drive-through is______
(Round to four decimal places as needed.)
(c) The proportion of cars that spend between 2 and 3 minutes in the restaurant's drive-through is______
(Round to four decimal places as needed.)
(d) The probability that a car spends more than 3 minutes in the restaurant's drive-through is_____so is______be unusual, since the probability is_______than 0.05.
(Round to four decimal places as needed.)
Solution:
Given:
First need to conver the population mean from second to minutes.
Population mean= 1.583 seconds = 1.583*60 = 94.98 seconds
Therefore, μ=94.98 and σ=30
a) We have to find P(X<106) = ...?
P(Z<0.3673)=0.6433 ...Using excel formula, =NORMSDIST(0.3673)
Hence, P(X<106) = 0.6433
b) We have to find P(X<215) = ...?
P(Z>4.0007)=1-P(Z<4.0007)
P(Z>4.0007) =1-1 = 0 ...Using excel formula, =NORMSDIST(4.007)
Hence, P(X<215) = 0
c) Here first need to convert given standard deviation into minutes.
σ=30/60 = 0.5
Therefore, μ=1.583 and σ=0.5
We have to find P(2X3) = ...?
P(0.834≤Z≤2.834) = P(Z≤2.834)−P(Z≤0.834)
P(0.834≤Z≤2.834) = 0.9977−0.7979=0.1998
...Using excel formula, =NORMSDIST(2.834) and =NORMSDIST(0.834)
Hence, P(2X3) = 0.1998
d)
P(X>3) = ...?
P(Z>2.834)=1-P(Z<2.834)
P(Z>2.834)=1−0.9977=0.0023 ...Using excel formula, =NORMSDIST(2.834)
Hence, P(X>3) = 0.0023
The probability that a car spends more than 3 minutes in the restaurant's drive-through is 0.0023 so is should be unusual, since the probability is less than 0.05.
Done