25. The data in the table in Fig. 2.1.7 are given for a certain population P(t) that satisfies the logistic equation in (3). (a) What is the limiting population M? (Suggestion: Use the approximation P(t + h) – P(t – h) P'(1) = 2h with h = 1 to estimate the values of P'(t) when P = 25.00 and when P = 47.54. Then substitute these values in the logistic equation and solve for k and M .) (b) Use the values of k and M found in part (a) to determine when P = 75. (Suggestion: Take t = 0 to correspond to the year 1925.) Year P (millions) 1924 24.63 1925 25.00 1926 25.38 1974 47.04 1975 47.54 1976 48.04 FIGURE 2.1.7. Population data for Problem 25.

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Chapter1: Functions And Models
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25. The data in the table in Fig. 2.1.7 are given for a certain
population P(t) that satisfies the logistic equation in (3).
(a) What is the limiting population M? (Suggestion: Use
the approximation
P(t + h) – P(t – h)
P'(1) =
2h
with h = 1 to estimate the values of P'(t) when P = 25.00
and when P = 47.54. Then substitute these values in the
logistic equation and solve for k and M .) (b) Use the
values of k and M found in part (a) to determine when
P = 75. (Suggestion: Take t = 0 to correspond to the
year 1925.)
Year
P (millions)
1924
24.63
1925
25.00
1926
25.38
1974
47.04
1975
47.54
1976
48.04
FIGURE 2.1.7. Population data for Problem 25.
Transcribed Image Text:25. The data in the table in Fig. 2.1.7 are given for a certain population P(t) that satisfies the logistic equation in (3). (a) What is the limiting population M? (Suggestion: Use the approximation P(t + h) – P(t – h) P'(1) = 2h with h = 1 to estimate the values of P'(t) when P = 25.00 and when P = 47.54. Then substitute these values in the logistic equation and solve for k and M .) (b) Use the values of k and M found in part (a) to determine when P = 75. (Suggestion: Take t = 0 to correspond to the year 1925.) Year P (millions) 1924 24.63 1925 25.00 1926 25.38 1974 47.04 1975 47.54 1976 48.04 FIGURE 2.1.7. Population data for Problem 25.
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