Chapter 1: Problem 28
Evaluate each expression without using a calculator. $$ \left(\frac{16}{25}\right)^{3 / 2} $$
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Chapter 1: Problem 28
Evaluate each expression without using a calculator. $$ \left(\frac{16}{25}\right)^{3 / 2} $$
These are the key concepts you need to understand to accurately answer the question.
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Electronic commerce or e-commerce, buying and selling over the Internet, has been growing rapidly. The total value of U.S. e-commerce in recent years in trillions of dollars is given by the exponential function \(f(x)=1.15(1.17)^{x}\), where \(x\) is the number of years since 2004 . Predict total e-commerce in the year 2015 .
$$ \begin{array}{l} \text { For each function, find and simplify }\\\ \frac{f(x+h)-f(x)}{h} . \quad(\text { Assume } h \neq 0 .) \end{array} $$ $$ f(x)=\sqrt{x} $$
SOCIAL SCIENCE: Health Club Attendance A recent study analyzed how the number of visits a person makes to a health club varies with the monthly membership price. It found that the number of visits per year is given approximately by \(v(x)=-0.004 x^{2}+0.56 x+42\), where \(x\) is the monthly membership price. What monthly price maximizes the number of visits?
GENERAL: Seat Belt Use Because of driver education programs and stricter laws, seat belt use has increased steadily over recent decades. The following table gives the percentage of automobile occupants using seat belts in selected years. $$ \begin{array}{lcccc} \hline \text { Year } & 1995 & 2000 & 2005 & 2010 \\ \hline \text { Seat Belt Use (\%) } & 60 & 71 & 81 & 86 \\ \hline \end{array} $$ a. Number the data columns with \(x\) -values \(1-4\) and use linear regression to fit a line to the data. State the regression formula. [Hint: See Example 8.] b. Interpret the slope of the line. From your answer, what is the yearly increase? c. Use the regression line to predict seat belt use in \(2015 .\) d. Would it make sense to use the regression line to predict seat belt use in 2025 ? What percentage would you get?
Find, rounding to five decimal places: a. \(\left(1+\frac{1}{100}\right)^{100}\) b. \(\left(1+\frac{1}{10,000}\right)^{10,000}\) c. \(\left(1+\frac{1}{1,000,000}\right)^{1,000,000}\) d. Do the resulting numbers seem to be approaching a limiting value? Estimate the limiting value to five decimal places. The number that you have approximated is denoted \(e\), and will be used extensively in Chapter 4 .
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