Chapter 3: Problem 88
Begin by graphing \(y=|x| .\) Then use this graph to obtain the graph of \(y=|x-2|+1 . \quad \text { (Section } 1.6, \text { Example } 3)\)
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Chapter 3: Problem 88
Begin by graphing \(y=|x| .\) Then use this graph to obtain the graph of \(y=|x-2|+1 . \quad \text { (Section } 1.6, \text { Example } 3)\)
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Determine whether each statement makes sense or does not make sense, and explain your reasoning. After 100 years, a population whose growth rate is \(3 \%\) will have three times as many people as a population whose growth rate is \(1 \%\)
The functions $$ f(x)=6.43(1.027)^{x} \quad \text { and } \quad g(x)=\frac{40.9}{1+6.6 e^{-0.049 x}} $$ model the percentage of college graduates, among people ages 25 and older, \(f(x)\) or \(g(x), x\) years after \(1950 .\) Use these functions to solve. (BAR GRAPH CAN'T COPY) Which function is a better model for the percentage who were college graduates in \(1990 ?\)
Without using a calculator, find the exact value of $$ \frac{\log _{3} 81-\log _{\pi} 1}{\log _{2 \sqrt{2}} 8-\log 0.001} $$
In Exercises \(141-144,\) determine whether each statement is true or false. If the statement is false, make the necessary change(s) to produce a true statement. $$\text { If } \log (x+3)=2, \text { then } e^{2}=x+3$$
From 1970 through \(2010 .\) The data are shown again in the table. Use all five data points to solve Exercises \(70-74\). $$\begin{array}{cc}\hline \begin{array}{c}x, \text { Number of Years } \\\\\text { after } 1969 \end{array} & \begin{array}{c}y, \text { U.S. Population } \\\\\text { (millions) }\end{array} \\ \hline 1(1970) & 203.3 \\\11(1980) & 226.5 \\\21(1990) & 248.7 \\\31(2000) & 281.4 \\\41(2010) & 308.7 \end{array}$$ Use your graphing utility's power regression option to obtain a model of the form \(y=a x^{b}\) that fits the data. How well does the correlation coefficient, \(r,\) indicate that the model fits the data?
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