MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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### House Prices: An Analysis The following table presents prices, in thousands of dollars, of single-family homes for some of the largest metropolitan areas in the United States for the third quarter of 2015 and the third quarter of 2016. | Metro Area | 2015 | 2016 | Metro Area | 2015 | 2016 | |------------------|-------|-------|-------------------|-------|-------| | Atlanta, GA | 181.5 | 182.0 | New York, NY | 398.3 | 395.4 | | Baltimore, MD | 254.5 | 265.8 | Philadelphia, PA | 231.7 | 232.2 | | Boston, MA | 414.6 | 435.8 | Phoenix, AZ | 217.9 | 234.7 | | Chicago, IL | 286.4 | 250.8 | Pittsburgh, PA | 159.5 | 155.0 | | Cincinnati, OH | 151.9 | 160.6 | Portland, OR | 314.8 | 356.7 | | Cleveland, OH | 129.7 | 138.1 | Riverside, CA | 291.7 | 315.5 | | Dallas, TX | 215.2 | 232.2 | St. Louis, MO | 163.6 | 170.3 | | Denver, CO | 362.9 | 394.4 | San Diego, CA | 547.8 | 589.9 | | Houston, TX | 221.1 | 217.4 | San Francisco, CA | 808.6 | 885.6 | | Los Angeles, CA | 449.0 | 480.0 | Seattle, WA | 385.3 | 420.5 | | Miami, FL | 289.0 | 310.0 | Tampa, FL | 175.0 | 199.9 | | Minneapolis, MN | 228.0 | 242.4 | Washington, DC | 401.1 | 406.9 | *Source: National Realtors Association* --- ### Study Questions: **a. Find the population standard deviation for 2015.** **b.
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Transcribed Image Text:### House Prices: An Analysis The following table presents prices, in thousands of dollars, of single-family homes for some of the largest metropolitan areas in the United States for the third quarter of 2015 and the third quarter of 2016. | Metro Area | 2015 | 2016 | Metro Area | 2015 | 2016 | |------------------|-------|-------|-------------------|-------|-------| | Atlanta, GA | 181.5 | 182.0 | New York, NY | 398.3 | 395.4 | | Baltimore, MD | 254.5 | 265.8 | Philadelphia, PA | 231.7 | 232.2 | | Boston, MA | 414.6 | 435.8 | Phoenix, AZ | 217.9 | 234.7 | | Chicago, IL | 286.4 | 250.8 | Pittsburgh, PA | 159.5 | 155.0 | | Cincinnati, OH | 151.9 | 160.6 | Portland, OR | 314.8 | 356.7 | | Cleveland, OH | 129.7 | 138.1 | Riverside, CA | 291.7 | 315.5 | | Dallas, TX | 215.2 | 232.2 | St. Louis, MO | 163.6 | 170.3 | | Denver, CO | 362.9 | 394.4 | San Diego, CA | 547.8 | 589.9 | | Houston, TX | 221.1 | 217.4 | San Francisco, CA | 808.6 | 885.6 | | Los Angeles, CA | 449.0 | 480.0 | Seattle, WA | 385.3 | 420.5 | | Miami, FL | 289.0 | 310.0 | Tampa, FL | 175.0 | 199.9 | | Minneapolis, MN | 228.0 | 242.4 | Washington, DC | 401.1 | 406.9 | *Source: National Realtors Association* --- ### Study Questions: **a. Find the population standard deviation for 2015.** **b.
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Step 1: Determine the given variables
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Step 2: Finding popl. std. deviation for 2015
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Step 3: Finding popl. std. deviation for 2016 data
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Step 4: Comparison based on spread
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