Chapter 1: Problem 70
Simplify. $$ \left[\left(x^{3}\right)^{3}\right]^{3} $$
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Chapter 1: Problem 70
Simplify. $$ \left[\left(x^{3}\right)^{3}\right]^{3} $$
These are the key concepts you need to understand to accurately answer the question.
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73-74. BIOMEDICAL SCIENCES: Life Expectancy The following tables give the life expectancy for a newborn child born in the indicated year. (Exercise 73 is for males, Exercise 74 for females.) $$ \begin{array}{lccccc} \hline \text { Birth Year } & 1970 & 1980 & 1990 & 2000 & 2010 \\ \hline \begin{array}{l} \text { Life Expectancy } \\ \text { (male) } \end{array} & 67.1 & 70.0 & 71.8 & 74.1 & 75.7 \\ \hline \end{array} $$
$$ \text { True or False: If } f(x)=x^{2}, \text { then } f(x+h)=x^{2}+h^{2} \text { . } $$
world population (in millions) since the year 1700 is approximated by the exponential function \(P(x)=522(1.0053)^{x}\), where \(x\) is the number of years since 1700 (for \(0 \leq x \leq 200\) ). Using a calculator, esti mate the world population in the year: 1750
ECONOMICS: Does Money Buy Happiness? Several surveys in the United States and Europe have asked people to rate their happiness on a scale of \(3={ }^{\prime \prime}\) very happy," \(2=\) "fairly happy," and \(1={ }^{\prime \prime}\) not too happy," and then tried to correlate the answer with the person's income. For those in one income group (making $$\$ 25,000$$ to $$\$ 55,000$$ ) it was found that their "happiness" was approximately given by \(y=0.065 x-0.613\). Find the reported "happiness" of a person with the following incomes (rounding your answers to one decimal place). a. $$\$ 25,000$$ b. $$\$ 35,000$$ c. $$\$ 45,000$$
GENERAL: Newsletters A newsletter has a maximum audience of 100 subscribers. The publisher estimates that she will lose 1 reader for each dollar she charges. Therefore, if she charges \(x\) dollars, her readership will be \((100-x)\). a. Multiply this readership by \(x\) (the price) to find her total revenue. Multiply out the resulting quadratic function. b. What price should she charge to maximize her revenue? [Hint: Find the value of \(x\) that maximizes this quadratic function.]
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