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The relationship between a bacteria population \(p\), in thousands, and time \(d\), in days, since it was measured to be 1,000 can be represented by the equation \(d = \log_2 p\).
Select all statements that are true about the situation.
Each day, the bacteria population grows by a factor of 2.
The equation \(p = 2^d\) also defines the relationship between the population in thousands and time in days.
The population reaches 7,000 after \(\log_2 7,\!000\) days.
The expression \(\log_2 10\) tells us when the population reaches 10,000 in number of days after the population was 1,000.
The equation \(d = \log_2 p\) represents a logarithmic function.
The equation \(7 = \log_2 128\) tells us that the population reaches 128,000 in 7 days.
Here is the graph of a logarithmic function of the form \(y = \log_a (x)\).
What value of \(a\) would produce this graph? Explain how you know.
Match each equation with a graph that represents it.
A
B
C
D
\(f(x) = \log_{2}{x}\)
\(g(x) = \log_{10}{x}\)
\(h(x) = \log_{5}{x}\)
\(j(x) = \ln{x}\)
1981
1993
1998
2008
The equation \(A(w) = 180 \boldcdot e^{(0.01w)}\) represents the area, in square centimeters, of a wall covered by mold as a function of \(w\), time in weeks since the area was measured.
Explain or show that we can approximate the area covered by mold in 8 weeks by multiplying \(A(7)\) by 1.01.
Solve each equation without using a calculator. Some solutions will need to be expressed using log notation.
Technology required. The population of Mali can be modeled by \(m(t)= 17 \boldcdot e^{(0.03t)}\). The population of Saudi Arabia can be modeled by \(s(t) = 31 \boldcdot e^{(0.015t)}\). In both models, \(t\) represents years since 2014, and the populations are measured in millions.