Mathematical Applications For The Management Life And Social Sciences 11th Edition by Harshbarger – Test Bank

Mathematical Applications For The Management Life And Social Sciences 11th Edition by Harshbarger – Test Bank

1. ISBN-10

   1305108043
2. ISBN-13

   978-1305108042

   The 11th edition of Mathematical Applications For The Management, Life, And Social Sciences introduces a concept-based approach, various presentation methods, and engaging and relevant applications aimed at keeping readers-future professionals in business, economics, life sciences, and social sciences-immersed in the material. This edition maintains the book’s real-life context by enhancing and updating the extensive array of examples. It also emphasizes modeling, with modeling problems now clearly identified in the examples. A brief overview of algebra equips users with diverse backgrounds for the subsequent chapters.

   Table of Contents

   0. ALGEBRAIC CONCEPTS. Models. The Real Numbers. Integral Exponents. Radicals and Rational Exponents. Operations with Algebraic Expressions. Factoring. Algebraic Fractions.
   1. LINEAR EQUATIONS AND FUNCTIONS. Solutions of Linear Equations and Inequalities in One Variable. Solutions. Linear Solutions. Graphs and Graphing Utilities. Solutions of Systems of Linear Equations. Applications of Solutions in Business and Economics.
   2. QUADRATIC AND OTHER SPECIAL FUNCTIONS. Quadratic Equations. Quadratic Solutions: Parabolas. Business Applications Using Quadratics. Special Solutions and Their Graphs. Modeling; Fitting Curves to Data with Graphing Utilities (optional).
   3. MATRICES. Matrices. Multiplication of Matrices. Gauss-Jordan Elimination: Solving Systems of Equations. Inverse of a Square Matrix; Matrix Equations. Applications of Matrices: Leontief Input-Output Models.
   4. INEQUALITIES AND LINEAR PROGRAMMING. Linear Inequalities in Two Variables. Linear Programming: Graphical Methods. The Simplex Method: Maximization. The Simplex Method: Duality and Minimization. The Simplex Method with Mixed Constraints.
   5. EXPONENTIAL AND LOGARITHMIC FUNCTIONS. Exponential Solutions. Logarithmic Solutions and Their Properties. Equations and Applications with Exponential and Logarithmic Solutions.
   6. MATHEMATICS OF FINANCE. Simple Interest; Sequences. Compound Interest; Geometric Sequences. Future Values of Annuities. Present Values of Annuities. Loans and Amortization.
   7. INTRODUCTION TO PROBABILITY. Probability; Odds. Unions and Intersections of Events: One-Trial Experiments. Conditional Probability: The Product Rule. Probability Trees and Bayes’ Formula. Counting: Permutations and Combinations. Permutations, Combinations, and Probability. Markov Chains.
   8. FURTHER TOPICS IN PROBABILITY; DATA DESCRIPTION. Binomial Probability Experiments. Data Description. Discrete Probability Distributions; The Binomial Distribution. Normal Probability Distribution. The Normal Curve Approximation to the Binomial Distribution.
   9. DERIVATIVES. Limits. Elementary Functions; Limits at Infinity. Rates of Change and Derivatives. Derivative Formulas. The Product Rule and the Quotient Rule. The Chain Rule and the Power Rule. Using Derivative Formulas. Higher-Order Derivatives. Applications: Marginals and Derivatives.
   10. APPLICATIONS AND DERIVATIVES. Relative Maxima and Minima: Curve Sketching. Concavity: Points of Inflection. Optimization in Business and Economics. Applications of Maxima and Minima. Rational Solutions: Further Curve Sketching.
   11. DERIVATIVES CONTINUED. Derivatives of Logarithmic Solutions. Derivatives of Exponential Solutions. Implicit Differentiation. Related Rates. Applications in Business and Economics.
   12. INDEFINITE INTEGRALS. Indefinite Integrals. The Power Rule. Integrals Involving Exponential and Logarithmic Solutions. Applications of the Indefinite Integral in Business and Economics. Differential Equations.
   13. DEFINITE INTEGRALS: TECHNIQUES OF INTEGRATION. Area Under a Curve. The Definite Integral: The Fundamental Theorem of Calculus. Area Between Two Curves. Applications of Definite Integrals in Business and Economics. Using Tables of Integrals. Integration by Parts. Improper Integrals and Their Applications. Numerical Integration Methods: The Trapezoidal Rule and Simpson’s Rule.
   14. FUNCTIONS OF TWO OR MORE VARIABLES. Solutions of Two or More Variables. Partial Differentiation. Applications of Solutions of Two Variables in Business and Economics. Maxima and Minima. Maxima and Minima of Solutions Subject to Constraints: Lagrange Multipliers.
   APPENDICES.
   A. Graphing Calculator Guides.
   B. Excel Guides.
   C. Areas Under the Normal Curve.