# Finite Mathematics for the Managerial, Life, and Social Sciences 8th edition

Soo T. Tan
Publisher: Cengage Learning

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• Chapter 1: Straight Lines and Linear Functions
• 1.1: The Cartesian Coordinate System (25)
• 1.2: Straight Lines (34)
• 1.3: Linear Functions and Mathematical Models (25)
• 1.4: Intersection of Straight Lines (21)
• 1.5: The Method of Least Squares (20)
• 1: Concept Review (3)
• 1: Review Exercises (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
• 2: Review Exercises (16)

• Chapter 3: Linear Programming: A Geometric Approach
• 3.1: Graphing System 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
• 3: Review Exercises (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: Review Exercises

• 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)
• Review Exercises (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: Review Exercises (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 (20)
• 7: Review Exercises (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: Review Exercises (20)

• Chapter 9: Markov Chains and the Theory of Games
• 9.1: Markov Chains (13)
• 9.2: Regular Markov Chains (14)
• 9.3: Absorbing Markov Chains (12)
• 9.4: Game Theory and Strictly Determined Games (20)
• 9.5: Games with Mixed Strategies (19)
• 9: Review Exercises

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## Questions Available within WebAssign

Most questions from this textbook are available in WebAssign. The online questions are identical to the textbook questions except for minor wording changes necessary for Web use. Whenever possible, variables, numbers, or words have been randomized so that each student receives a unique version of the question. This list is updated nightly.

##### Question Group Key
CR - Chapter Review
R - Review

##### Question Availability Color Key
BLACK questions are available now
GRAY questions are under development

Group Quantity Questions
Chapter 1: Straight Lines and Linear Functions
1.C 3 002 008 010
1.R 17 002 004 006 008 010 012 014 018 020 021 024 026 027 028 030 031 032
1.1 25 002 008 009 010 011 012 014 016 018 020 022 024 025 026 028 029 030 032 033 035 036 038 040 041 044
1.2 34 002 005 006 007 008 010 011 012 014 015 016 018 020 022 024 026 028 032 036 042 046 048 056 058 060 062 070 071 076 076.alt 079 079.alt 080 086
1.3 25 002 006 007 010 012 015 017 018 020 022 022.alt 028 028.alt 030 031 032 036 036.alt 040 040.alt 042 042.alt 044 048 050
1.4 21 002 004 006 008 010 011 011.alt 012 013 014 015 016 018 020 022 024 025 026 028 030 032
1.5 20 002 004 005 006 007 008 009 010 012 014 016 017 018 019 020 022 023 024 026 028
Chapter 2: Systems of Linear Equations and Matrices
2.R 16 001 004 006 007 008 018 020 021 026 028 030 036 038 040 041 044
2.1 19 001 002 004 008 009 010 011 012 013 015 016 018 020 021 022 024 025 026 028
2.2 20 006 010 014 020 026 028 030 036 038 040 044 050 052 054 058 060 062 066 068 070
2.3 19 002 004 008 013 014 015 016 017 018 019 020 022 024 026 028 030 032 034 040
2.4 20 002 008 009 010 012 013 014 015 016 017 018 019 020 022 024 028 036 038 040 046
2.5 20 002 003 004 008 010 012 014 016 018 020 022 028 032 036 040 044 046 048 050 054
2.6 20 006 008 010 012 014 015 016 018 020 022 026 028 029 030 034 036 040 042 044 046
Chapter 3: Linear Programming: A Geometric Approach
3.R 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016
3.1 20 002 004 006 008 010 012 014 016 018 020 022 026 028 029 032 033 034 036 038 040
3.2 20 001 002 003 005 006 007 008 009 010 011 012 014 016 017 018 019 022 023 024 026
3.3 19 002 004 006 008 012 014 016 018 020 024 028 029 030 034 036 037 038 044 052
Chapter 4: Linear Programming: An Algebraic Approach
4.1 17 012 014 016 018 020 022 024 028 030 032 034 036 038 040 042 044 046
4.2 12 002 004 006 012 014 016 018 020 022 024 026 028
4.3 12 006 008 010 012 014 016 018 020 022 024 026 028
Chapter 5: Mathematics of Finance
5.R 20 001 002 004 005 006 008 010 012 014 016 018 022 024 025 026 028 029 032 033 034
5.1 22 002 004 006 008 010 012 014 016 018 020 022 024 026 028 032 034 044 048 054 058 062 068
5.2 20 002 004 006 008 010 012 014 016 018 020 021 022 024 025 026 027 029 030 032 034
5.3 20 002 004 008 010 014 016 018 020 024 026 028 030 032 034 036 037 038 040 042 046
5.4 19 002 004 006 009 010 012 014 016 018 020 024 026 028 030 032 034 036 038 040
Chapter 6: Sets and Counting
6.R 20 002 006 008 010 014 020 022 024 026 028 030 032 033 034 037 038 039 040 042 043
6.1 19 006 010 012 016 018 022 026 028 030 034 035 036 038 040 046 056 062 064 068
6.2 20 006 009 010 012 014 016 018 020 022 024 026 028 029 030 032 033 034 035 036 038
6.3 20 001 002 003 004 005 006 007 008 009 010 012 014 016 018 020 022 023 024 026 028
6.4 20 002 004 008 012 014 018 028 030 032 036 038 042 044 048 056 060 062 064 072 082
Chapter 7: Probability
7.R 20 001 002 003 004 005 006 008 013 014 016 017 018 020 022 023 024 025 026 027 028
7.1 19 001 004 006 008 010 012 014 016 022 024 026 028 030 034 036 038 040 044 048
7.2 20 009 010 012.alt 014 016 018 020 022 024 026 028 030 033 034 038 040 042 043 044 046
7.3 20 002 008 014 016 020 024 026 029 030 032 033 034 035 036 037 038 040 042 044 046
7.4 20 002 008 012 016 017 018 020 021 022 024 025 026 028 030 032 034 036 038 042 044
7.5 19 002 004 006 010 012 014 026 028 032 033 034 036 039 041 042 044 046 048 056
7.6 20 002 004 006 008 012 014 016 018 020 022 024 026 028 030 032 034 036 037 040 042
Chapter 8: Probability Distributions and Statistics
8.R 20 002 003 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 021 022 024
8.1 20 001 002 003 004 005 006 007 008 009 010 011 013 014 016 017 018 019 020 021 022
8.2 20 002 003 004 007 009 012 014 018 026 028 030 031 032 034 036 039 040 042 043 044
8.3 20 001 003 005 007 009 011 014 015 018 020 021 022 024 025 027 029 030 032 034 036
8.4 20 007 008 009 011 013 015 017 018 020 022 024 025 028 031 033 034 037 038 041 042
8.5 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020
8.6 19 001 002 003 004 005 006 007 008 009 010 012 013 014 015 016 017 018 019 022
Chapter 9: Markov Chains and the Theory of Games
9.1 13 002 004 006 008 010 012 016 018 020 022 026 028 030
9.2 14 002 004 006 008 010 012 014 016 018 020 022 024 026 028
9.3 12 002 004 006 008 016 018 020 022 024 026 030 032
9.4 20 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 023
9.5 19 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 020 021
Total 950