Chapter 10: Problem 72
In Exercises, solve for \(x\) or \(t\). $$ \left(1+\frac{0.06}{12}\right)^{12 t}=5 $$
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Chapter 10: Problem 72
In Exercises, solve for \(x\) or \(t\). $$ \left(1+\frac{0.06}{12}\right)^{12 t}=5 $$
These are the key concepts you need to understand to accurately answer the question.
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In Exercises, use the given information to write an equation for \(y\). Confirm your result analytically by showing that the function satisfies the equation \(d y / d t=C y .\) Does the function represent exponential growth or exponential decay? $$ \frac{d y}{d t}=2 y, \quad y=10 \text { when } t=0 $$
The cumulative sales \(S\) (in thousands of units) of a new product after it has been on the market for \(t\) years are modeled by \(S=C e^{k / t}\) During the first year, 5000 units were sold. The saturation point for the market is 30,000 units. That is, the limit of \(S\) as \(t \rightarrow \infty\) is 30,000 . (a) Solve for \(C\) and \(k\) in the model. (b) How many units will be sold after 5 years? (c) Use a graphing utility to graph the sales function.
In Exercises, find \(d x / d p\) for the demand function. Interpret this rate of change when the price is \(\$ 10\). $$ x=\ln \frac{1000}{p} $$
Students in a learning theory study were given an exam and then retested monthly for 6 months with an equivalent exam. The data obtained in the study are shown in the table, where \(t\) is the time in months after the initial exam and \(s\) is the average score for the class. $$ \begin{array}{|l|l|l|l|l|l|l|} \hline t & 1 & 2 & 3 & 4 & 5 & 6 \\ \hline s & 84.2 & 78.4 & 72.1 & 68.5 & 67.1 & 65.3 \\ \hline \end{array} $$ (a) Use these data to find a logarithmic equation that relates \(t\) and \(s\). (b) Use a graphing utility to plot the data and graph the model. How well does the model fit the data? (c) Find the rate of change of \(s\) with respect to \(t\) when \(t=2\). Interpret the meaning in the context of the problem.
The retail sales \(S\) (in billions of dollars per year) of e-commerce companies in the United States from 1999 through 2004 are shown in the table. $$ \begin{array}{|l|l|l|l|l|l|l|} \hline t & 9 & 10 & 11 & 12 & 13 & 14 \\ \hline S & 14.5 & 27.8 & 34.5 & 45.0 & 56.6 & 70.9 \\ \hline \end{array} $$ The data can be modeled by \(S=-254.9+121.95 \ln t\), where \(t=9\) corresponds to 1999.
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