# Finite Mathematics for the Managerial, Life, and Social Sciences 10th 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 (30)
• 1.3: Linear Functions and Mathematical Models (24)
• 1.4: Intersection of Straight Lines (20)
• 1.5: The Method of Least Squares (18)
• 1: Review Exercises (17)

• Chapter 2: Systems of Linear Equations and Matrices
• 2.1: Systems of Linear Equations: An Introduction (21)
• 2.2: Systems of Linear Equations: Unique Solutions (32)
• 2.3: Systems of Linear Equations: Underdetermined and Overdetermined Systems (21)
• 2.4: Matrices (24)
• 2.5: Multiplication of Matrices (23)
• 2.6: The Inverse of a Square Matrix (21)
• 2.7: Leontief Input-Output Model (13)
• 2: Review Exercises (21)

• Chapter 3: Linear Programming: A Geometric Approach
• 3.1: Graphing Systems of Linear Inequalities in Two Variables (20)
• 3.2: Linear Programming Problems (22)
• 3.3: Graphical Solutions of Linear Programming Problems (24)
• 3.4: Sensitivity Analysis (16)
• 3: Review Exercises (16)

• Chapter 4: Linear Programming: An Algebraic Approach
• 4.1: The Simplex Method: Standard Maximization Problems (18)
• 4.2: The Simplex Method: Standard Minimization Problems (14)
• 4.3: The Simplex Method: Nonstandard Problems (12)
• 4: Review Exercises (13)

• Chapter 5: Mathematics of Finance
• 5.1: Compound Interest (36)
• 5.2: Annuities (20)
• 5.3: Amoritization and Sinking Funds (29)
• 5.4: Arithmetic and Geometric Progressions (22)
• 5: Review Exercises (16)

• Chapter 6: Sets and Counting
• 6.1: Sets and Set Operations (22)
• 6.2: The Number of Elements in a Finite Set (23)
• 6.3: The Multiplication Principle (22)
• 6.4: Permutations and Combinations (38)
• 6: Review Exercises (20)

• Chapter 7: Probability
• 7.1: Experiements, Sample Spaces, and Events (23)
• 7.2: Definition of Probability (26)
• 7.3: Rules of Probability (26)
• 7.4: Use of Counting Techniques in Probability (27)
• 7.5: Conditional Probability and Independent Events (24)
• 7.6: Bayes' Theorem (23)
• 7: Review Exercises (26)

• Chapter 8: Probability Distributions and Statistics
• 8.1: Distributions of Random Variables (21)
• 8.2: Expected Value (25)
• 8.3: Variance and Standard Deviation (28)
• 8.4: The Bionmial Distribution (28)
• 8.5: The Normal Distribution (20)
• 8.6: Applications of Normal Distribution (20)
• 8: Review Exercises (24)

• Chapter 9: Markov Chains and the Theory of Games
• 9.1: Markov Chains (14)
• 9.2: Regular Markov Chains (14)
• 9.3: Absorbing Markov Chains (12)
• 9.4: Game Theory and Strictly Determind Games (20)
• 9.5: Games with Mixed Strategies (20)
• 9: Review Questions (15)

## Questions Available within WebAssign

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Group Quantity Questions
Chapter 1: Straight Lines and Linear Functions
1.R 17 002 004 006 008 010 012 014 016 018 021 024 026 027 028 030 031 032
1.1 25 002 004 006 008 010 012 014 016 018 020 022 024 025 026 029 030 032 033 035 036 038 040 041 042 045
1.2 30 002 004 006 008 010 012 014 015 016 018 020 022 024 026 028 032 036 038 042 044 047 050 052 064 072 073 078 080 081 088
1.3 24 002 004 006 007 008 010 012 015 017 018 020 022 027 028 030 031 032 034 036 038 040 042 046 048
1.4 20 002 004 006 008 010 011 012 013 014 015 016 018 020 022 024 025 026 028 030 032
1.5 18 002 004 005 006 007 009 010 012 014 016 018 020 022 024 025 026 028 030
Chapter 2: Systems of Linear Equations and Matrices
2.R 21 001 004 006 007 008 010 012 014 018 020 021 026 028 030 034 036 038 040 041 044 046
2.1 21 001 002 004 008 009 010 011 012 014 016 017 019 020 022 024 025 026 028 029 030 032
2.2 32 002 004 006 010 012 014 016 020 022 024 026 028 030 034 038 040 042 046 048 050 052 056 058 060 062 064 066 068 071 072 074 076
2.3 21 002 004 008 010 013 014 015 016 017 018 019 021 022 025 028 030 032 034 036 042 043
2.4 24 001 002 003 009 010 012 013 014 015 016 017 018 019 020 022 024 032 034 035 036 038 040 042 048
2.5 23 002 003 004 008 010 012 014 016 018 020 022 028 032 034 038 040 042 046 049 052 054 056 060
2.6 21 006 008 010 012 014 015 016 018 020 022 026 028 029 030 034 038 040 042 044 046 050
2.7 13 003 004 005 006 007 008 009 010 012 013 014 015 016
Chapter 3: Linear Programming: A Geometric Approach
3.R 16 001 002 003 004 005 006 007 008 009 011 013 014 015 016 017 018
3.1 20 002 004 006 008 010 012 014 016 018 020 022 024 026 028 029 032 033 034 036 038
3.2 22 001 002 003 004 006 007 008 009 010 011 012 015 016 018 020 021 022 023 026 027 028 030
3.3 24 002 004 006 008 010 012 014 016 018 020 022 024 028 029 030 032 036 038 039 040 044 046 048 050
3.4 16 001 002 003 004 005 006 007 008 009 010 011 012 013 014 016 018
Chapter 4: Linear Programming: An Algebraic Approach
4.R 13 002 004 006 008 009 010 012 014 016 019 020 021 022
4.1 18 018 020 022 024 026 028 030 034 036 038 040 041 044 046 048 050 052 054
4.2 14 002 004 006 008 010 012 014 016 018 020 022 024 026 028
4.3 12 006 008 010 012 014 016 018 020 022 024 026 028
Chapter 5: Mathematics of Finance
5.R 16 001 002 004 005 008 010 014 017 021 023 025 027 028 030 031 033
5.1 36 002 004 006 008 010 012 014 016 018 020 021 022 024 026 028 030 032 034 036 037 040 042 044 046 050 052 054 055 056 058 062 066 068 070 080 082
5.2 20 002 004 006 008 010 012 014 016 018 020 021 022 024 026 027 029 030 032 034 036
5.3 29 002 004 006 008 010 012 014 016 018 020 022 023 024 025 026 028 030 031 032 034 036 038 041 042 044 046 050 052 054
5.4 22 002 004 006 008 009 010 012 014 016 018 020 023 024 026 028 030 032 034 036 038 040 042
Chapter 6: Sets and Counting
6.R 20 002 004 006 008 022 024 026 028 030 032 033 034 038 040 041 042 043 044 047 048
6.1 22 004 006 007 010 012 016 018 021 022 026 027 034 035 036 038 040 044 048 050 062 064 068
6.2 23 004 008 010 011 012 014 016 018 020 022 024 026 028 030 032 033 034 036 037 038 039 040 042
6.3 22 001 002 003 004 005 006 007 008 009 010 012 014 016 018 019 020 022 024 025 026 028 030
6.4 38 002 004 006 008 011 012 014 016 018 023 024 026 028 030 032 033 034 036 038 040 042 044 046 048 052 053 054 058 060 063 064 066 067 070 072 074 076 086
Chapter 7: Probability
7.R 26 001 002 004 005 006 007 008 010 011 012 014 016 017 019 020 021 022 023 025 028 032 034 035 036 037 038
7.1 23 001 002 004 006 008 010 012 014 016 018 020 022 024 026 028 030 034 036 038 040 042 046 050
7.2 26 009 010 012 014 016 018 019 021 022 024 026 027 028 030 033 034 035 036 039 042 043 044 048 049 050 052
7.3 26 001 002 004 005 006 008 009 010 012 014 016 026 030 031 032 034 036 039 040 043 044 046 047 048 050 052
7.4 27 002 004 006 008 010 012 013 014 016 017 018 020 021 022 023 024 025 026 027 028 030 032 034 036 038 040 042
7.5 24 002 004 006 008 010 012 014 018 023 026 028 030 034 035 036 038 040 041 043 046 048 050 052 060
7.6 23 002 003 006 008 014 016 018 020 022 024 026 027 029 031 032 034 036 038 041 043 044 047 048
Chapter 8: Probability Distributions and Statistics
8.R 24 002 003 005 006 007 008 009 010 011 012 013 014 015 016 019 020 021 022 024 025 026 028 029 030
8.1 21 001 002 003 004 005 006 007 008 009 010 011 018 019 020 022 023 024 025 026 027 028
8.2 25 002 003 004 006 007 009 010 012 014 016 018 020 024 026 028 030 031 032 034 036 040 041 042 044 045
8.3 28 001 002 003 004 005 006 007 009 010 011 014 015 016 018 020 022 023 024 026 028 030 032 034 037 038 040 042 044
8.4 28 007 008 009 010 011 012 013 015 016 017 018 020 022 024 025 026 028 030 031 033 034 036 038 039 040 042 045 046
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 20 001 002 003 004 005 006 007 008 009 010 012 013 014 015 016 017 018 019 020 022
Chapter 9: Markov Chains and the Theory of Games
9.R 15 002 004 006 008 010 012 014 015 016 020 022 024 026 028 030
9.1 14 002 004 006 008 010 012 016 018 020 022 025 026 028 030
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 20 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 020 021
Total 1149