College Mathematics for the Managerial, Life, and Social Sciences – Soo T. Tan – 7th Edition

Chapter 1: Straight Lines and Linear Functions
1.1: The Cartesian Coordinate System (21)
1.2: Straight Lines (21)
1.3: Linear Functions and Mathematical Models (25)
1.4: Intersection of Straight Lines (21)
1.5: The Method of Least Squares (20)
1: Chapter Review (17)

Chapter 2: Systems of Linear Equations and Matrices
2.1: Systems of Linear Equations: An Introduction (19)
2.2: Systems of Linear Equations: Unique Solutions (20)
2.3: Systems of linear Equations: Underdetermined and Overdetermined Systems (19)
2.4: Matrices (20)
2.5: Multiplication of Matrices (20)
2.6: The Inverse of a Square Matrix (20)
2.7: Leontief Input-Output Model (19)
2: Chapter Review (16)

Chapter 3: Linear Programming: A Geometric Approach
3.1: Graphing Systems of Linear Inequalities in Two Variables (20)
3.2: Linear Programming Problems (20)
3.3: Graphical Solution of Linear Programming Problems (19)
3.4: Sensitivity Analysis (20)
3: Chapter Review (16)

Chapter 4: Linear Programming: An Algebraic Approach
4.1: The Simplex Method: Standard Maximization Problems (17)
4.2: The Simplex Method: Standard Minimization Problems (12)
4.3: The Simplex Method: Nonstandard Problems (12)
4: Chapter Review

Chapter 5: Mathematics of Finance
5.1: Compound Interest (22)
5.2: Annuities (20)
5.3: Amortization and Sinking Funds (20)
5.4: Arithmetic and Geometric Progressions (19)
5: Chapter Review (20)

Chapter 6: Sets and Counting
6.1: Sets and Set Operations (19)
6.2: The Number of Elements in a Finite Set (20)
6.3: The Multiplication Principle (20)
6.4: Permutations and Combinations (20)
6: Chapter Review (20)

Chapter 7: Probability
7.1: Experiments, Sample Spaces, and Events (19)
7.2: Definition of Probability (20)
7.3: Rules of Probability (20)
7.4: Use of Counting Techniques in Probability (20)
7.5: Conditional Probability and Independent Events (19)
7.6: Bayes' Theorem (21)
7: Chapter Review (20)

Chapter 8: Probability Distributions and Statistics
8.1: Distributions of Random Variables (20)
8.2: Expected Value (20)
8.3: Variance and Standard Deviation (20)
8.4: The Binomial Distribution (20)
8.5: The Normal Distribution (20)
8.6: Applications of the Normal Distribution (19)
8: Chapter Review (20)

Chapter 9: Markov Chains
9.1: Markov Chains (13)
9.2: Regular Markov Chains (14)
9.3: Absorbing Markov Chains (12)
9: Chapter Review

Chapter 10: Precalculus Review
10.1: Exponents and Radicals (27)
10.2: Algebraic Expressions (26)
10.3: Algebraic Fractions (23)
10.4: Inequalities and Absolute Value (27)
10: Chapter Review

Chapter 11: Functions, Limits, and the Derivative
11.1: Functions and Their Graphs (31)
11.2: The Algebra of Functions (30)
11.3: Functions and Mathematical Models (23)
11.4: Limits (30)
11.5: One-Sided Limits and Continuity (30)
11.6: The Derivative (30)
11: Chapter Review (21)

Chapter 12: Differentiation
12.1: Basic Rules of Differentiation (30)
12.2: The Product and Quotient Rules (30)
12.3: The Chain Rule (30)
12.4: Marginal Functions in Economics (30)
12.5: Higher-Order Derivatives (30)
12.6: Implicit Differentiation and Related Rates (30)
12.7: Differentials (30)
12: Chapter Review (21)

Chapter 13: Applications of the Derivative
13.1: Applications of the First Derivative (31)
13.2: Applications of the Second Derivative (30)
13.3: Curve Sketching (29)
13.4: Optimization I (30)
13.5: Optimization II (30)
13: Chapter Review (21)

Chapter 14: Exponential and Logarithmic Functions
14.1: Exponential Functions (30)
14.2: Logarithmic Functions (30)
14.3: Differentiation of Exponential Functions (30)
14.4: Differentiation of Logarithmic Functions (31)
14.5: Exponential Functions as Mathematical Functions (30)
14: Chapter Review (10)

Chapter 15: Integration
15.1: Antiderivatives and the Rules of Integration (29)
15.2: Integration by Substitution (29)
15.3: Area and the Definite Integral (18)
15.4: The Fundamental Theorem of Calculus (30)
15.5: Evaluating Definite Integrals (30)
15.6: Area between Two Curves (29)
15.7: Applications of the Definite Integral to Business and Economics (15)
15: Chapter Review (20)

Chapter 16: Additional Topics in Integration
16.1: Integration by Parts (29)
16.2: Integration Using Tables of Integrals (31)
16.3: Numerical Integration (30)
16.4: Improper Integrals (30)
16.5: Applications of Calculus to Probability (30)
16: Chapter Review (21)

Chapter 17: Calculus of Several Variables
17.1: Functions of Several Variables (28)
17.2: Partial Derivatives (30)
17.3: Maxima and Minima of Functions of Several Variables (27)
17.4: Constrained Maxima and Minima and the Method of Lagrange Multipliers (27)
17.5: Double Integrals (56)
17: Chapter Review (20)