Fit the logistic equation to the actual U.S. population data (Fig. 2.1.4) for the years 1900, 1930,
Question:
Fit the logistic equation to the actual U.S. population data (Fig. 2.1.4) for the years 1900, 1930, and 1960. Solve the resulting logistic equation, then compare the predicted and actual populations for the years 1980, 1990, and 2000.
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Year 1800 1810 1820 1830 1840 1850 1860 1870 1880 1890 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 Actual U.S. Pop. 5.308 7.240 9.638 12.861 17.064 23.192 31.443 38.558 50.189 62.980 76.212 92.228 106.022 123.203 132.165 151.326 179.323 203.302 226.542 248.710 281.422 308.745 Exponential Model 5.308 6.929 9.044 11.805 15.409 20.113 26.253 34.268 44.730 58.387 76.212 99.479 129.849 169.492 221.237 288.780 376.943 492.023 642.236 838.308 1094.240 1428.307 Exponential Error 0.000 0.311 0.594 1.056 1.655 3.079 5.190 4.290 5.459 4.593 0.000 -7.251 -23.827 -46.289 -89.072 -137.454 -197.620 -288.721 -415.694 -589.598 -812.818 -1119.562 Logistic Model 5.308 7.202 9.735 13.095 17.501 23.192 30.405 39.326 50.034 62.435 76.213 90.834 105.612 119.834 132.886 144.354 154.052 161.990 168.316 173.252 177.038 179.905 Logistic Error 0.000 0.038 -0.097 -0.234 -0.437 0.000 1.038 -0.768 0.155 0.545 -0.001 1.394 0.410 3.369 -0.721 6.972 25.271 41.312 58.226 75.458 104.384 128.839 FIGURE 2.1.4. Comparison of exponential growth and logistic models with U.S. census populations (in millions).
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Related Book For
Differential Equations And Linear Algebra
ISBN: 9780134497181
4th Edition
Authors: C. Edwards, David Penney, David Calvis
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