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LOS Angees, CA San Francisco, CA 76 Washington DC, VA, MD 73 Atlanta, GA 71 Houston, TX 67 Dallas, Fort Worth, TX 64 Chicago, IL-IN 62 Detroit, MI 61 Miami, FL 55 Boston, MA, NH, RI 55 New York, NY-NJ-CT 53 Phoenix, AZ 53 Philadelphia, PA-NJ-DE-MD 42 Large Urban Areas Extra Hours per Year per Traveler Riverside, CA 58 Orlando, FL 58 San Jose, CA 56 San Diego, CA 55 Denver, CO 54 Baltimore, MD 53 Seattle, WA 49 Tampa, FL 49 Minneapolis, St Paul, MN 46 Sacramento, CA 43 Portland, OR, WA 42

LOS Angees, CA San Francisco, CA 76 Washington DC, VA, MD 73 Atlanta, GA 71 Houston, TX 67 Dallas, Fort Worth, TX 64 Chicago, IL-IN 62 Detroit, MI 61 Miami, FL 55 Boston, MA, NH, RI 55 New York, NY-NJ-CT 53 Phoenix, AZ 53 Philadelphia, PA-NJ-DE-MD 42 Large Urban Areas Extra Hours per Year per Traveler Riverside, CA 58 Orlando, FL 58 San Jose, CA 56 San Diego, CA 55 Denver, CO 54 Baltimore, MD 53 Seattle, WA 49 Tampa, FL 49 Minneapolis, St Paul, MN 46 Sacramento, CA 43 Portland, OR, WA 42

MATLAB: An Introduction with Applications
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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please answer part A

A report included the accompanying data on extra travel time for peak travel time in hours per year per traveler for different sized urban areas. The data are summarized in the table below. Very Large Urban Areas Extra Hours per Year per Traveler Los Angeles, CA 97 San Francisco, CA 76 Washington DC, VA, MD 73 Atlanta, GA 71 Houston, TX 67 Dallas, Fort Worth, TX 64 Chicago, IL-IN 62 Detroit, MI 61 Miami, FL 55 Boston, MA, NH, RI 55 New York, NY-NJ-CT 53 Phoenix, AZ 53 Philadelphia, PA-NJ-DE-MD 42 Large Urban Areas Extra Hours per Year per Traveler Riverside, CA 58 Orlando, FL 58 San Jose, CA 56 San Diego, CA 55 Denver, CO 54 Baltimore, MD 53 Seattle, WA 49 Tampa, FL 49 Minneapolis, St Paul, MN 46 Sacramento, CA 43 Portland, OR, WA 42 Indianapolis, IN 41
Transcribed Image Text:A report included the accompanying data on extra travel time for peak travel time in hours per year per traveler for different sized urban areas. The data are summarized in the table below. Very Large Urban Areas Extra Hours per Year per Traveler Los Angeles, CA 97 San Francisco, CA 76 Washington DC, VA, MD 73 Atlanta, GA 71 Houston, TX 67 Dallas, Fort Worth, TX 64 Chicago, IL-IN 62 Detroit, MI 61 Miami, FL 55 Boston, MA, NH, RI 55 New York, NY-NJ-CT 53 Phoenix, AZ 53 Philadelphia, PA-NJ-DE-MD 42 Large Urban Areas Extra Hours per Year per Traveler Riverside, CA 58 Orlando, FL 58 San Jose, CA 56 San Diego, CA 55 Denver, CO 54 Baltimore, MD 53 Seattle, WA 49 Tampa, FL 49 Minneapolis, St Paul, MN 46 Sacramento, CA 43 Portland, OR, WA 42 Indianapolis, IN 41
Portland, OR, WA 42 Indianapolis, IN 41 St Louis, MO-IL 38 San Antonio, TX 36 Providence, RI, MA 36 Las Vegas, NV 33 Cincinnati, OH-KY-IN 33 Columbus, OH 32 Virginia Beach, VA 29 Milwaukee, WI 26 New Orleans, LA 21 Kansas City, MO-KS 20 Pittsburgh, PA 17 Buffalo, NY 16 Oklahoma City, OK 15 Cleveland, OH 13 (a) Construct a comparative stem-and-leaf plot for extra travel time per traveler for the two different sizes of urban areas. (Enter numbers from smallest to largest separated by spaces. Enter NONE for stems with no values.) Very Large Urban Areas Large Urban Areas none 1 2,4,5,6,9 none 2 0,5,8 none 3 1,2,2,5,5,7 2 4 0,1,2,5,8,8 3,3,5,5 1,2,4,7 none 1,3,6 7 none none 8 none 7 9. none
Transcribed Image Text:Portland, OR, WA 42 Indianapolis, IN 41 St Louis, MO-IL 38 San Antonio, TX 36 Providence, RI, MA 36 Las Vegas, NV 33 Cincinnati, OH-KY-IN 33 Columbus, OH 32 Virginia Beach, VA 29 Milwaukee, WI 26 New Orleans, LA 21 Kansas City, MO-KS 20 Pittsburgh, PA 17 Buffalo, NY 16 Oklahoma City, OK 15 Cleveland, OH 13 (a) Construct a comparative stem-and-leaf plot for extra travel time per traveler for the two different sizes of urban areas. (Enter numbers from smallest to largest separated by spaces. Enter NONE for stems with no values.) Very Large Urban Areas Large Urban Areas none 1 2,4,5,6,9 none 2 0,5,8 none 3 1,2,2,5,5,7 2 4 0,1,2,5,8,8 3,3,5,5 1,2,4,7 none 1,3,6 7 none none 8 none 7 9. none
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