Finite Mathematics and Applied Calculus - With WebAssign - 7th Edition - by Waner - ISBN 9781337604970

Finite Mathematics and Applied Calculus...
7th Edition
Waner
Publisher: Cengage
ISBN: 9781337604970

Solutions for Finite Mathematics and Applied Calculus - With WebAssign

Browse All Chapters of This Textbook

Chapter 1.2 - Functions And ModelsChapter 1.3 - Linear Functions And ModelsChapter 1.4 - Linear RegressionChapter 2 - Nonlinear Functions And ModelsChapter 2.1 - Quadratic Functions And ModelsChapter 2.2 - Exponential Functions And ModelsChapter 2.3 - Logarithmic Functions And ModelsChapter 2.4 - Logistic Functions And ModelsChapter 3 - The Mathematics Of FinanceChapter 3.1 - Simple InterestChapter 3.2 - Compound InterestChapter 3.3 - Annuities, Loans, And BondsChapter 4 - Systems Of Linear Equations And MatricesChapter 4.1 - Systems Of Two Equations In Two UnknownsChapter 4.2 - Using Matrices To Solve Systems Of EquationsChapter 4.3 - Applications Of Systems Of Linear EquationsChapter 5 - Matrix Algebra And ApplicationsChapter 5.1 - Matrix Addition And Scalar MultiplicationChapter 5.2 - Matrix MultiplicationChapter 5.3 - Matrix InversionChapter 5.4 - Game TheoryChapter 5.5 - Input-output ModelsChapter 6 - Linear ProgrammingChapter 6.1 - Graphing Linear InequalitiesChapter 6.2 - Solving Linear Programming Problems GraphicallyChapter 6.3 - The Simplex Method: Solving Standard Maximization ProblemsChapter 6.4 - The Simplex Method: Solving General Linear Programming ProblemsChapter 6.5 - The Simplex Method And DualityChapter 7 - Sets And CountingChapter 7.1 - Sets And Set OperationsChapter 7.2 - CardinalityChapter 7.3 - Decision Algorithms: The Addition And Multiplication PrinciplesChapter 7.4 - Permutations And CombinationsChapter 8 - ProbabilityChapter 8.1 - Sample Spaces And EventsChapter 8.2 - Relative FrequencyChapter 8.3 - Probability And Probability ModelsChapter 8.4 - Probability And Counting TechniquesChapter 8.5 - Conditional Probability And IndependenceChapter 8.6 - Bayes’ Theorem And ApplicationsChapter 8.7 - Markov SystemsChapter 9 - Random Variables And StatisticsChapter 9.1 - Random Variables And DistributionsChapter 9.2 - Bernoulli Trials And Binomial Random VariablesChapter 9.3 - Measures Of Central TendencyChapter 9.4 - Measures Of DispersionChapter 9.5 - Normal DistributionsChapter 10 - Introduction To The DerivativeChapter 10.1 - Limits: Numerical And Graphical ViewpointsChapter 10.2 - Limits And ContinuityChapter 10.3 - Limits And Continuity: Algebraic ViewpointChapter 10.4 - Average Rate Of ChangeChapter 10.5 - The Derivative: Numerical And Graphical ViewpointsChapter 10.6 - The Derivative: Algebraic ViewpointChapter 11 - Techniques Of Differentiation With ApplicationsChapter 11.1 - Derivatives Of Powers, Sums, And Constant MultiplesChapter 11.2 - A First Application: Marginal AnalysisChapter 11.3 - The Product And Quotient RulesChapter 11.4 - The Chain RuleChapter 11.5 - Derivatives Of Logarithmic And Exponential FunctionsChapter 11.6 - Implicit DifferentiationChapter 12 - Further Applications Of The DerivativeChapter 12.1 - Maxima And MinimaChapter 12.2 - Applications Of Maxima And MinimaChapter 12.3 - Higher Order Derivatives: Acceleration And ConcavityChapter 12.4 - Analyzing GraphsChapter 12.5 - Related RatesChapter 12.6 - ElasticityChapter 13 - The IntegralChapter 13.1 - The Indefinite IntegralChapter 13.2 - SubstitutionChapter 13.3 - The Definite Integral: Numerical And Graphical ViewpointsChapter 13.4 - The Definite Integral: Algebraic Viewpoint And The Fundamental Theorem Of CalculusChapter 14 - Further Integration Techniques And Applications Of The IntegralChapter 14.1 - Integration By PartsChapter 14.2 - Area Between Two Curves And ApplicationsChapter 14.3 - Averages And Moving AveragesChapter 14.4 - Applications To Business And Economics: Consumers’ And Producers’ Surplus And Continuous Income StreamsChapter 14.5 - Improper Integrals And ApplicationsChapter 14.6 - Differential Equations And ApplicationsChapter 15 - Functions Of Several VariablesChapter 15.1 - Functions Of Several Variables From The Numerical, Algebraic, And Graphical ViewpointsChapter 15.2 - Partial DerivativesChapter 15.3 - Maxima And MinimaChapter 15.4 - Constrained Maxima And Minima And ApplicationsChapter 15.5 - Double Integrals And ApplicationsChapter 16 - Trigonometric ModelsChapter 16.1 - Trigonometric Functions, Models, And RegressionChapter 16.2 - Derivatives Of Trigonometric Functions And ApplicationsChapter 16.3 - Integrals Of Trigonometric Functions And ApplicationsChapter A - Logic

Book Details

Full of relevant, diverse, and current real-world applications, Stefan Waner and Steven Costenoble's FINITE MATHEMATICS AND APPLIED CALCULUS, 7th Edition helps your students relate to mathematics. Many applications are based on real, referenced data from business, economics, the life sciences, and the social sciences. Thorough, clearly delineated spreadsheet and TI Graphing Calculator instruction appears throughout. Acclaimed for accuracy and readability, FINITE MATHEMATICS AND APPLIED CALCULUS appeals to, and is appropriate for, all types of teaching and learning styles. Online option available: WebAssign, the powerful online homework and course management system that engages students in learning math.

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