In automobile mileage and gasoline-consumption testing, 13 automobiles were road tested for 300 miles in both city and highway driving conditions. The following data were recorded for miles-per-gallon performance.City:16.717.216.414.913.715.817.316.516.615.815.715.816.7Highway:20.021.218.919.219.818.017.819.219.621.720.019.119.3Calculate the mean, median, and mode for City and Highway gasoline consumption (to 1 decimal). City HighwayMean Median Mode The data are bimodal: and

Step 1: For the miles-per gallon of city: Suppose a random variable is x that defines the…

Answered: In automobile mileage and…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In automobile mileage and gasoline-consumption testing, 13 automobiles were road tested for 300 miles in both city and highway driving conditions. The following data were recorded for miles-per-gallon performance.

City:	16.7	17.2	16.4	14.9	13.7	15.8	17.3	16.5	16.6	15.8	15.7	15.8	16.7
Highway:	20.0	21.2	18.9	19.2	19.8	18.0	17.8	19.2	19.6	21.7	20.0	19.1	19.3

Calculate the mean, median, and mode for City and Highway gasoline consumption (to 1 decimal).

	City	Highway
Mean
Median
Mode		The data are bimodal: and

Definition Definition Measure of central tendency that is the value that occurs most frequently in a data set. A data set may have more than one mode if multiple categories repeat an equal number of times. For example, in a data set with five item—3, 5, 5, 29, 473—the mode is 5 because it occurs twice and no other value occurs more than once. On a histogram or bar chart, the element with the highest bar represents the mode. Therefore, the mode is sometimes considered the most popular option. The mode is useful for nominal or categorical data (e.g., the most common color car that users purchase), but it is problematic for continuous data because it is more likely not to have any value that is more frequent than the other.

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