The following table presents prices, in thousands of dollars, of single-family homes for 20  of the largest metropolitan areas in the United States for the first quarter of  2012 and the first quarter of 2013. .   Metro Area   2012   2013 Boston, MA   311.5   332.2 Chicago, IL   157.2   159.4 Cincinnati, OH   112.5   121.0 Cleveland, OH   84.9   101.0 Dallas, TX   148.2   160.4 Denver, CO   226.4   261.2 Houston, TX   152.1   163.7 Los Angeles, CA   122.1   155.1 Miami, FL   182.0   219.9 Minneapolis, MN   147.3   170.6   Metro Area   2012   2013 New York, NY   363.8   368.2 Philadelphia, PA   193.5   197.7 Phoenix, AZ   129.9   169.0 Portland, OR   208.6   246.5 Riverside, CA   174.3   216.7 St. Louis, MO   103.7   111.0 San Diego, CA   359.5   412.3 San Francisco, CA   448.0   593.9 Seattle, WA   265.4   312.6 Tampa, FL   131.9   141.8 a) Find the mean and median price for 2012. Round the answers to two decimal places.

The table shows the home ownership rate in each of the 50 states and Washington, DC. in 2017. 69.5 71.1 69.8 64.0 40.9 70.8 66.5 64.4 68.2 64.2 64.0 68.6 55.2 59.6 65.4 65.5 69.6 70.9 66.7 64.8 67.4 Source: U.S. Census Bureau. 62.2 56.3 67.9 66.2 74.1 74.5 70.7 62.7 71.4 66.1 63.4 69.7 72.0 66.5 70.2 70.8 71.3 50.5 63.1 65.8 65.6 64.3 69.5 64.9 68.3 62.4 69.2 74.8 With a lower class limit of the first class of 45 and a class width of 5: a) Construct a frequency distribution. b) Construct a relative frequency distribution. c) Construct a frequency histogram of the data. (Using Excel) d) Describe the shape of the distribution. 66.8 70.2

147.4 172.8 193.4 219.4 255.1 260.5 261.1 263.4 324.8 303.2 311.2 324.8 348.8 352.4 352.4 352.4 354.1 368.8 368.9 372.6 373.1 373.4 374.2 380.4 382.8 383.4 389.9 391.2 391.2 394.7 398.2 403.4 408.8 410.7 421.1 424.1 428 440.3 447.7 450.6 460.3 460.3 460.3 475.8 479.4 484.3 489.7 563.6 569 613.8 625.2 637.5 638.3 655.3 665.3 Frequency 1 18 16 14 12 10 8 6 4 2 100 150 200 250 300 350 400 450 500 550 600 650 700 a. Find the minimum for this data set. minimum = 1 = b. Find the first quartile for this data set. Q₁ length (cm) = c. Find the median for this data set. Median = d. Find the third quartile for this data set. Q3 Submit Question e. Find the maximum for this data set. maximum =

A statistical program is recommended. The Condé Nast Traveler Gold List provides ratings for the top 20 small cruise ships. The data shown below are the scores each ship received based upon the results from Condé Nast Traveler's Annual Readers' Choice Survey. Each score represents the percentage of respondents who rated a ship as excellent or very good on several criteria, including Shore Excursions and Food/Dining. An overall score was also reported and used to rank the ships. The highest ranked ship, the Seabourn Odyssey, has an overall score of 94.4, the highest component of which is 97.8 for Food/Dining. Shore Ship Overall Food/Dining Excursions Seabourn Odyssey 94.4 90.9 97.8 Seabourn Pride 93.0 84.2 96.7 National Geographic Endeavor 92.9 100.0 88.5 Seabourn Sojourn 91.3 94.8 97.1 Paul Gauguin 90.5 87.9 91.2 Seabourn Legend 90.3 82.1 98.8 Seabourn Spirit 90.2 86.3 92.0 Silver Explorer 89.9 92.6 88.9 Silver Spirit 89.4 85.9 90.8 Seven Seas Navigator 89.2 83.3 90.5 Silver Whisperer…

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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) =…

The following table shows the square footage of houses in an area that sold recently along with the selling price. Sq. Ft. Price 2096, 295000, 3160, 338000, 2320, 265000, 3150, 365000, 2760, 330000, 3650, 412000, 2125, 320000, 3085, 342000, 4750, 485000, 2100, 320000, 3100, 316000, 2240, 321000, 3300, 347000, 2800, 350000, 2825, 330000, 3275, 420000 1. Find the equation of the regression line (line of best fit). 2. Determine if there is a strong linear correlation. 3. If there is a strong linear correlation predict the selling price of a 3333 sq. ft. home

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5. The graph below shows the LFPR for 25-54 year old men over several decades. Percent 100 May-16 98 96 94 92 90 88 86 1948 1954 1960 1966 1972 1978 1984 1990 1996 2002 2008 2014 Source: Bureau of Labor Statistics, Current Population Survey; CEA calculations. (Source: Voxeu.org) It shows that the fraction of these "prime working age men" who are NOT in the labor forced has a. doubled b. tripled c. quadrupled d. not changed

Many countries, especially those in Europe, have significant gold holdings. But many of these countries also have massive debts. The following data show the total value of gold holdings in billions of U.S. dollars and the debt as a percentage of the gross domestic product for nine countries (WordPress and Trading Economics websites, February 24, 2012). Click on the datafile logo to reference the data. Country Gold Value Debt China 63 17.7 France 146 81.7 Germany 203 83.2 Indonesia 33 69.2 Italy 147 119 Netherlands 36 63.7 Russia 50 9.9 Switzerland 62 55 U.S. 487 93.2   Using the entire data set, develop the estimated regression equation that can be used to predict the debt of a country given the total value of its gold holdings. y^ =   (to 4 decimals)   (to 4 decimals) Gold Value Suppose that after looking at the scatter diagram in part (a) that you were able to visually identify what appears to be an…