College Mathematics for Business Economics Life Sciences and Social Sciences 12th Edition Barnett Test Bank

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College Mathematics for Business Economics Life Sciences and Social Sciences 12th Edition Barnett Test Bank.

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College Mathematics for Business Economics Life Sciences and Social Sciences 12th Edition Barnett Test Bank

Product details:

  • ISBN:0321614003
  • ISBN-13:9780321614001
  • Author: Raymond A Barnett, Michael R Ziegler, Karl E Byleen, Michael Ziegler
This accessible text is designed to help readers help themselves to excel. The content is organized into three parts: (1) A Library of Elementary Functions (Chapters 1—2), (2) Finite Mathematics (Chapters 3—9), and (3) Calculus (Chapters 10—15). The book’s overall approach, refined by the authors’ experience with large sections of college freshmen, addresses the challenges of learning when readers’ prerequisite knowledge varies greatly. Reader-friendly features such as Matched Problems, Explore & Discuss questions, and Conceptual Insights, together with the motivating and ample applications, make this text a popular choice for today’s students and instructors. The MyMathLab course for the text features thousands of homework exercises plus instructional videos for nearly every example in the book.

Table contents:

Chapter 1 Functions and Graphs

1.1 Functions

1.2 Elementary Functions: Graphs and Transformations

1.3 Quadratic Functions

1.4 Polynomial and Rational Functions

1.5 Exponential Functions

1.6 Logarithmic Functions

Chapter 1 Summary and Review

Review Exercises

Chapter 2 Mathematics of Finance

2.1 Simple Interest

2.2 Compound and Continuous Compound Interest

2.3 Future Value of an Annuity; Sinking Funds

2.4 Present Value of an Annuity; Amortization

Chapter 2 Summary and Review

Review Exercises

Chapter 3 Systems of Linear Equations; Matrices

3.1 Review: Systems of Linear Equations in Two Variables

3.2 Systems of Linear Equations and Augmented Matrices

3.3 Gauss–Jordan Elimination

3.4 Matrices: Basic Operations

3.5 Inverse of a Square Matrix

3.6 Matrix Equations and Systems of Linear Equations

3.7 Leontief Input–Output Analysis

Chapter 3 Summary and Review

Review Exercises

Chapter 4 Linear Inequalities and Linear Programming

4.1 Linear Inequalities in Two Variables

4.2 Systems of Linear Inequalities in Two Variables

4.3 Linear Programming in Two Dimensions: a Geometric Approach

Chapter 4 Summary and Review

Review Exercises

Chapter 5 Linear Programming: The Simplex Method

5.1 The Table Method: an Introduction to the Simplex Method

5.2 The Simplex Method: Maximization with Problem Constraints of the Form …

5.3 The Dual Problem: Minimization with Problem Constraints of the Form ú

5.4 Maximization and Minimization with Mixed Problem Constraints

Chapter 5 Summary and Review

Review Exercises

Chapter 6 Logic, Sets, and Counting

6.1 Logic

6.2 Sets

6.3 Basic Counting Principles

6.4 Permutations and Combinations

Chapter 6 Summary and Review

Review Exercises

Chapter 7 Probability

7.1 Sample Spaces, Events, and Probability

7.2 Union, Intersection, and Complement of Events; Odds

7.3 Conditional Probability, Intersection, and Independence

7.4 Bayes’ Formula

7.5 Random Variable, Probability Distribution, and Expected Value

Chapter 7 Summary and Review

Review Exercises

Chapter 8 Limits and the Derivative

8.1 Introduction to Limits

8.2 Infinite Limits and Limits at Infinity

8.3 Continuity

8.4 The Derivative

8.5 Basic Differentiation Properties

8.6 Differentials

8.7 Marginal Analysis in Business and Economics

Chapter 8 Summary and Review

Review Exercises

Chapter 9 Additional Derivative Topics

9.1 The Constant E and Continuous Compound Interest

9.2 Derivatives of Exponential and Logarithmic Functions

9.3 Derivatives of Products and Quotients

9.4 The Chain Rule

9.5 Implicit Differentiation

9.6 Related Rates

9.7 Elasticity of Demand

Chapter 9 Summary and Review

Review Exercises

Chapter 10 Graphing and Optimization

10.1 First Derivative and Graphs

10.2 Second Derivative and Graphs

10.3 L’hôpital’s Rule

10.4 Curve-Sketching Techniques

10.5 Absolute Maxima and Minima

10.6 Optimization

Chapter 10 Summary and Review

Review Exercises

Chapter 11 Integration

11.1 Antiderivatives and Indefinite Integrals

11.2 Integration by Substitution

11.3 Differential Equations; Growth and Decay

11.4 The Definite Integral

11.5 The Fundamental Theorem of Calculus

11.6 Area Between Curves

Chapter 11 Summary and Review

Review Exercises

Chapter 12 Additional Integration Topics

12.1 Integration by Parts

12.2 Other Integration Methods

12.3 Applications in Business and Economics

Chapter 12 Summary and Review

Review Exercises

Chapter 13 Multivariable Calculus

13.1 Functions of Several Variables

13.2 Partial Derivatives

13.3 Maxima and Minima

13.4 Maxima and Minima Using Lagrange Multipliers

13.5 Method of Least Squares

13.6 Double Integrals over Rectangular Regions

13.7 Double Integrals over More General Regions

Chapter 13 Summary and Review

Review Exercises

Chapter 14 Markov Chains

14.1 Properties of Markov Chains

14.2 Regular Markov Chains

14.3 Absorbing Markov Chains

Chapter 14 Summary and Review

Review Exercises

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