Mathematics: An Applied ApproachContinuing its rich tradition of engaging students and demonstrating how mathematics applies to various fields of study, the new edition of this text is packed with real data and reallife applications to business, economics, social and life sciences. Users continually praise Sullivan and Mizrahi for their attention to conceptual development, wellgraded and applied examples and exercise sets that include CPA, CMA, and Actuarial exam questions. The new Eighth Edition also features a new full color design and improved goaloriented pedagogy to facilitate understanding, including:

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Contents
LINEAR EQUATIONS  2 
Chapter Review  43 
FINANCE  105 
Chapter Review  151 
GEOMETRIC APPROACH  158 
Chapter Review  187 
SIMPLEX METHOD  194 
Chapter Review  252 
CLASSES OF FUNCTIONS  603 
Chapter Review  667 
Predicting Population Growth  674 
Chapter Review  707 
THE DERIVATIVE OF A FUNCTION  713 
Chapter Review  780 
GRAPHING FUNCTIONS  787 
Chapter Review  852 
Balancing NutrientsContinued  258 
Chapter Review  310 
SETS COUNTING TECHNIQUES  316 
Chapter Review  357 
PROBABILITY  364 
Chapter Review  412 
Asking Sensitive Questions Using Conditional Probability  418 
Chapter Review  461 
STATISTICS  469 
Chapter Review  525 
Average Weather  533 
Chapter Review  596 
Evaluating Car Rental Costs  602 
THE INTEGRAL OF A FUNCTION  860 
Chapter Review  917 
OTHER APPLICATIONS AND EXTENSIONS  925 
Chapter Review  945 
CALCULUS OF FUNCTIONS OF  951 
Chapter Review  992 
APPENDIX A REVIEW  2 
The Distance Formula A85  87 
PROGRAMMING PROBLEMS  93 
Answers to OddNumbered Problems  112 
Photo Credits PC1  224 
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Common terms and phrases
amount Answers to OddNumbered asymptote augmented matrix BV P x1 Chapter class intervals compute constraints x1 corner point Determine domain equal EXAMPLE exponential exponential function feasible points Figure Find the derivative Find the probability Formula function f(x given graphing utility horizontal interest inverse invest line of best linear equations linear inequalities linear programming linear programming problem local maximum logarithmic manufacturer maximum problem Minimize minimum nonnegative objective function objective row obtain OddNumbered Problems Begin outcomes P(E F payment pivot column pivot element pivot row pounds problem in standard profit quadratic function quotient rate of change real numbers requires result revenue row echelon form sample space scatter diagram Section simplex method slack variables slope SOLUTION Solve standard deviation standard form STEP system of equations system of linear tangent line toss units vertical vitamin xaxis xintercepts y f(x