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 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 1245.69 none 2 0.5.8 none 312,2,5,5,7 2 0.1.2.5.8,8 3.3.5.5 ]x 5234.5.7.7 1.24.7 1x 6 none 1,36 x 7 z Inone none 8 Inone 9none (b) Is the following statement consistent with the display constructed in part (a)? Explain. The larger the urban area, the greater the extra travel time during peak period travel. O Each very large urban area has a greater amount of extra travel time than all of the large urban areas. So the statement is correct. Each large urban area has more extra travel time than all of the very large urban areas. So the statement is not correct. O On average very large urban areas have more extra travel time than large urban areas. However there are examples where a particular large urban area has more extra travel time than at least one of the very large urban areas. So, the statement is not correct. O On average large urban areas have more extra travel time than very large urban areas. So, the statement is not correct. O On average very large urban areas have more extra travel time than large urban areas. So, the statement is correct.

The table below shows the data from a past United States census. Complete parts (a) and (b) below. Connecticut New York Delaware North Carolina Georgia Kentucky Maryland Massachusetts New Hampshire New Jersey 236,841 55,540 70,835 68,705 278,514 475,327 141,822 179,570 Pennsylvania Rhode Island South Carolina Vermont Virginia Total THE 331,589 353,523 432,879 68,446 206,236 85,533 630,560 3,615,920 a. Find the standard divisor if 90 seats are allowed in Congress. (Round to two decimal places as needed.) b. Find the standard quota for Vermont. (Type an integer or decimal rounded to two decimal places as needed.)

The table below shows the alcohol consumption per capita for seventeen high-income countries in 2000 according to https://ourworldindata.org.Country Liters of Alcohol Consumption per Capita in 1980 Australia 9.7Austria 11.1Belgium 11.5Canada 7.6Denmark 9.8Finland 5.1France 13.3Germany 12.7Italy 10.8Japan 6.5Netherlands 8.6New Zealand 9.1Norway 5.2Sweden 5.9Switzerland 11.4United Kingdom 8United States 7.71) Calculate the mean, median, mode, and standard deviation of the liters of alcohol consumption per capita for these 17 countries. Use your TI-84 calculator or Excel as necessary. If you calculate them by hand, include your work (neatly written on a separate sheet of paper!!). If you use Excel, include the Excel worksheet. If you use your TI-84, show what you’ve entered and the results you get. (You could take photos of your calculator and include those if you’d rather.)Mean = _______________________ (Round to 1 decimal place.)Median = ______________________Mode(s) =…

Data on the gasoline tax per gallon (in cents) as of a certain date for the 50 U.S. states and the District of Columbia are shown below. State Gasoline Taxper Gallon State Gasoline Taxper Gallon Alabama 19.1 Missouri 17.2 Alaska 9.1 Montana 27.7 Arizona 19.1 Nebraska 27.8 Arkansas 21.7 Nevada 23.7 California 37.1 New Hampshire 23.9 Colorado 23.4 New Jersey 14.5 Connecticut 25.1 New Mexico 19.0 Delaware 22.9 New York 33.9 District of   Columbia 23.4 North Carolina 35.4 North Dakota 23.1 Florida 30.7 Ohio 28.1 Georgia 26.6 Oklahoma 17.1 Hawaii 18.4 Oregon 30.1 Idaho 33.1 Pennsylvania 51.3 Illinois 33.0 Rhode Island 34.0 Indiana 28.9 South Carolina 16.9 Iowa 31.9 South Dakota 30.1 Kansas 24.9 Tennessee 21.3 Kentucky 25.9 Texas 20.1 Louisiana 21.0 Utah 30.0 Maine 31.5 Vermont 30.6 Maryland 32.7 Virginia 16.9 Massachusetts 26.6 Washington 44.5 Michigan 31.0 West Virginia 33.3 Minnesota 30.5 Wisconsin 33.0 Mississippi 18.3 Wyoming 24.1…

1. Using the following data: 5568 8 9 10 10 12 15 16 19 20 20 21 24 25 25 30 32 Quartile 1 = Quartile 2 = Quartile 3 =

mpute Marshall – Edgeworth price index number for the following data by taking 2016 as base year. Items sold out in a men's wear 2017. 2016 GRSH Prices Quantity Quantity Prices Shirts 900 175 700 150 Pants 1200 150 1000 100 Sandals 600 100 500 70 Shoes 1800 60 1500 50 150 Belts Watches 400 100 600 250 300 1500 1200

The table below shows the alcohol consumption per capita for seventeen high-income countries in 2000 according to https://ourworldindata.org. Country Liters of Alcohol Consumption per Capita in 1980 Australia 9.7Austria 11.1Belgium 11.5Canada 7.6Denmark 9.8Finland 5.1France 13.3Germany 12.7Italy 10.8Japan 6.5Netherlands 8.6New Zealand 9.1Norway 5.2Sweden 5.9Switzerland 11.4United Kingdom 8United States 7.7 1) Calculate the mean, median, mode, and standard deviation of the liters of alcohol consumption per capita for these 17 countries. Use your TI-84 calculator or Excel as necessary. If you calculate them by hand, include your work (neatly written on a separate sheet of paper!!). If you use Excel, include the Excel worksheet. If you use your TI-84, show what you’ve entered and the results you get. (You could take photos of your calculator and include those if you’d rather.)Mean = _______________________ (Round to 1 decimal place.)Median = ______________________Mode(s) =…

The National Hurricane Center provides data that list the number of large (category 3, 4, or 5) hurricanes that have struck the United States, by decade, from 1851-2020. Is there sufficient evidence that the number of large hurricanes have remained constant (per decade)? What are the degrees of freedom? Decade Count Decade Count 1851-1860 6 1941-1950 10 1861-1870 1 1951-1960 8 1871-1880 7 1961-1970 6 1881-1890 5 1971-1980 4 1891-1900 8 1981-1990 5 1901-1910 4 1991-2000 5 1911-1920 7 2001-2010 8 1921-1930 5 2011-2020 10 1931-1940 8     Chi-squared test for given probabilitiesdata:  stormsX-squared = 13.589, df = 16, p-value = 0.6293 A. 107                   B. 17                   C. 13.589                    D. 16

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write down the eight famous steps that are used to conduct correlation Geography Population Government Expenditure ($) City of Kenai 7,551 14,099,000 City of Wasilla 8,972 13,629,000 City of Foley 16,741 27,753,000 City of Hoover 84,100 93,696,000 City of Prattville 35,107 26,955,000 City of Hot Springs 36,711 10,477,000 City of Avondale 80,631 45,937,000 City of Coolidge 12,073 9,521,000 City of Douglas 16,764 13,096,000 City of Sedona 10,209 14,908,000 City of Tempe 174,708 186,195,000 City of Baldwin Park 76,511 26,460,000 City of Bell Gardens 42,805 25,869,000 City of Camarillo 66,630 32,828,000 City of Campbell 40,788 42,043,000 City of Dixon 19,144 14,700,000 City of El Cerrito 24,646 31,313,000 City of Fort Bragg 7,260 8,475,000 City of Half Moon Bay 12,281 8,781,000 City of Hesperia 92,664 26,757,000 City of Lathrop 20,331 19,195,000 City of Newark 44,677 41,230,366 City of Ontario 169,389 203,191,000 City of Pasadena 140,268…