Chapter 4: Problem 85
Use the properties of natural logarithms to rewrite the expression. $$e \ln 1$$
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Chapter 4: Problem 85
Use the properties of natural logarithms to rewrite the expression. $$e \ln 1$$
These are the key concepts you need to understand to accurately answer the question.
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Use a graphing utility to approximate the point of intersection of the graphs. Round your result to three decimal places. $$\begin{aligned}&y_{1}=1.05\\\&y_{2}=\ln \sqrt{x-2}\end{aligned}$$
Use the regression feature of a graphing utility to find an exponential model \(y=a b^{x}\) for the data and identify the coefficient of determination. Use the graphing utility to plot the data and graph the model in the same viewing window. $$(0,4.0),(2,6.9),(4,18.0),(6,32.3),(8,59.1),(10,118.5)$$
Solve the logarithmic equation algebraically. Round the result to three decimal places. Verify your answer(s) using a graphing utility. $$\ln x=-4$$
The table shows the numbers \(N\) of college-bound seniors intending to major in engineering who took the SAT exam from 2008 through \(2013 .\) The data can be modeled by the logarithmic function $$N=-152,656+111,959.9 \ln t$$ where \(t\) represents the year, with \(t=8\) corresponding to 2008 . (Source: The College Board) $$\begin{array}{|c|c|}\hline \text { Year } & \text { Number } N \\\\\hline 2008 & 81,338 \\\2009 & 88,719 \\\2010 & 108,389 \\\2011 & 116,746 \\\2012 & 127,061 \\\2013 & 132,275 \\\\\hline\end{array}$$ (a) According to the model, in what year would 150,537 seniors intending to major in engineering take the SAT exam? (b) Use a graphing utility to graph the model with the data, and use the graph to verify your answer in part (a). (c) Do you think this is a good model for predicting future values? Explain.
The table shows the percents \(P\) of women in different age groups (in years) who have been married at least once. (Source: U.S. Census Bureau) $$\begin{array}{|c|c|}\hline \text { Age group } & \text { Percent, } P\\\\\hline 18-24 & 14.6 \\\25-29 & 49.0 \\\30-34 & 70.3 \\\35-39 & 79.9 \\\40-44 & 85.0 \\\45-49 & 87.0 \\\50-54 & 89.5 \\\55-59 & 91.1 \\\\\hline\end{array}$$ (a) Use the regression feature of a graphing utility to find a logistic model for the data. Let \(x\) represent the midpoint of the age group. (b) Use the graphing utility to graph the model with the original data. How closely does the model represent the data?
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