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A car manufacturer wants to know what fuel efficiency is for the models of Car X and Car Y. The histograms show a random sample of 29 cars of each model. Which measures of center and variability should the car manufacturer use? What can the car manufacturer infer? Number of Cars Car Model X Number of Cars Car Model Y 20 22 24 26 28 30 Miles Per Gallon Select each measure of center or variability the car manufacturer should use. A. Mean - measure of center most accurate w/o outlier 8. Interquartile range 20 22 24 26 28 30 Miles Per Giallon C. Median FD. Range - measure of variability most accurate w/o outlier What can the researcher infer? QA. The car manufacturer might infer from the medians that Car Model Y is more fuel efficient than Car Model X. B. The car manufacturer might infer from the medians that Car Model X is more fuel efficient than Car Model Y. C. The car manufacturer might infer from the means that Car Model Y is more fuel efficient than Car Model X. OD. The car manufacturer might infer from the means that Car Model X is more fuel efficient than Car Model Y.

A car manufacturer wants to know what fuel efficiency is for the models of Car X and Car Y. The histograms show a random sample of 29 cars of each model. Which measures of center and variability should the car manufacturer use? What can the car manufacturer infer? Number of Cars Car Model X Number of Cars Car Model Y 20 22 24 26 28 30 Miles Per Gallon Select each measure of center or variability the car manufacturer should use. A. Mean - measure of center most accurate w/o outlier 8. Interquartile range 20 22 24 26 28 30 Miles Per Giallon C. Median FD. Range - measure of variability most accurate w/o outlier What can the researcher infer? QA. The car manufacturer might infer from the medians that Car Model Y is more fuel efficient than Car Model X. B. The car manufacturer might infer from the medians that Car Model X is more fuel efficient than Car Model Y. C. The car manufacturer might infer from the means that Car Model Y is more fuel efficient than Car Model X. OD. The car manufacturer might infer from the means that Car Model X is more fuel efficient than Car Model Y.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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A car manufacturer wants to know what fuel efficiency is for the models of Car X and Car Y. The histograms show a random sample of 29 cars of each model. Which measures of center and variability should the car manufacturer use? What can the car manufacturer infer? Number of Cars Car Model X Number of Cars Car Model Y i.t.i.f.f 20 22 24 26 28 30 Miles Per Gallon Select each measure of center or variability the car manufacturer should use. A. Mean - measure of conter most accurate w/o 8. Interquartile range adlier 20 22 24 26 28 30 Miles Per Gallon C. Median D. Range - measure of variability most accurate. w/o outlier What can the researcher infer? QA. The car manufacturer might infer from the medians that Car Model Y is more fuel efficient than Car Model X. B. The car manufacturer might infer from the medians that Car Model X is more fuel efficient than Car Model Y. C. The car manufacturer might infer from the means that Car Model Y is more fuel efficient than Car Model X. OD. The car manufacturer might infer from the means that Car Model X is more fuel efficient than Car Model Y.
Transcribed Image Text:A car manufacturer wants to know what fuel efficiency is for the models of Car X and Car Y. The histograms show a random sample of 29 cars of each model. Which measures of center and variability should the car manufacturer use? What can the car manufacturer infer? Number of Cars Car Model X Number of Cars Car Model Y i.t.i.f.f 20 22 24 26 28 30 Miles Per Gallon Select each measure of center or variability the car manufacturer should use. A. Mean - measure of conter most accurate w/o 8. Interquartile range adlier 20 22 24 26 28 30 Miles Per Gallon C. Median D. Range - measure of variability most accurate. w/o outlier What can the researcher infer? QA. The car manufacturer might infer from the medians that Car Model Y is more fuel efficient than Car Model X. B. The car manufacturer might infer from the medians that Car Model X is more fuel efficient than Car Model Y. C. The car manufacturer might infer from the means that Car Model Y is more fuel efficient than Car Model X. OD. The car manufacturer might infer from the means that Car Model X is more fuel efficient than Car Model Y.
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