A study found that the mean amount of time cars spent in drive-throughs of a certain fast-food restaurant was 134.8 seconds. Assuming drive-through times are normally distribute standard deviation of 25 seconds, complete parts (a) through (d) below. (a) What is the probability that a randomly selected car will get through the restaurant's drive-through in less than 90 seconds? The probability that a randomly selected car will get through the restaurant's drive-through in less than 90 seconds is (Round to four decimal places as needed.) (b) What is the probability that a randomly selected car will spend more than 178 seconds in the restaurant's drive-through? The probability that a randomly selected car will spend more than 178 seconds in the restaurant's drive-through is (Round to four decimal places as needed.) (c) What proportion of cars spend between 2 and 3 minutes in the restaurant's drive-through? 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) Would it be unusual for a car to spend more than minutes in the restaurant's drive-through? Why? The probability that a car spends more than 3 minutes in the restaurant's drive-through is, so it be unusual, since the probability is than 0.05. (Round to four decimal places as needed.)

Name: A study found that the mean amount of time cars spent in drive-through
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Description: A study found that the mean amount of time cars spent in drive-throughs of a certain fast-food restaurant was 134.8 seconds. Assuming drive-through times are normally distributed with a standard deviation of 25 seconds, complete parts (a) through (d)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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A study found that the mean amount of time cars spent in drive-throughs of a certain fast-food restaurant was 134.8 seconds. Assuming drive-through times are normally distributed with a standard deviation of 25 seconds, complete parts (a) through (d) below.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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