# Finite Mathematics for the Managerial, Life, and Social Sciences 12th edition

Soo T. Tan
Publisher: Cengage Learning

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• Chapter 1: Straight Lines and Linear Functions
• 1.1: The Cartesian Coordinate System (29)
• 1.2: Straight Lines (56)
• 1.3: Linear Functions and Mathematical Models (32)
• 1.4: Intersection of Straight Lines (22)
• 1.5: The Method of Least Squares (28)
• 1: Review Exercises (17)

• Chapter 2: Systems of Linear Equations and Matrices
• 2.1: Systems of Linear Equations: An Introduction (29)
• 2.2: Systems of Linear Equations: Unique Solutions (49)
• 2.3: Systems of Linear Equations: Underdetermined and Overdetermined Systems (34)
• 2.4: Matrices (36)
• 2.5: Multiplication of Matrices (41)
• 2.6: The Inverse of a Square Matrix (33)
• 2.7: Leontief Input–Output Model (13)
• 2: Review Exercises (23)

• Chapter 3: Linear Programming: A Geometric Approach
• 3.1: Graphing Systems of Linear Inequalities in Two Variables (28)
• 3.2: Linear Programming Problems (24)
• 3.3: Graphical Solution of Linear Programming Problems (30)
• 3.4: Sensitivity Analysis (16)
• 3: Review Exercises (16)

• Chapter 4: Linear Programming: An Algebraic Approach
• 4.1: The Simplex Method: Standard Maximization Problems (32)
• 4.2: The Simplex Method: Standard Minimization Problems (19)
• 4.3: The Simplex Method: Nonstandard Problems (16)
• 4: Review Exercises (14)

• Chapter 5: Mathematics of Finance
• 5.1: Compound Interest (49)
• 5.2: Annuities (21)
• 5.3: Amortization and Sinking Funds (35)
• 5.4: Arithmetic and Geometric Progressions (26)
• 5: Review Exercises (17)

• Chapter 6: Sets and Counting
• 6.1: Sets and Set Operations (44)
• 6.2: The Number of Elements in a Finite Set (28)
• 6.3: The Multiplication Principle (25)
• 6.4: Permutations and Combinations (52)
• 6: Review Exercises (20)

• Chapter 7: Probability
• 7.1: Experiments, Sample Spaces, and Events (30)
• 7.2: Definition of Probability (36)
• 7.3: Rules of Probability (36)
• 7.4: Use of Counting Techniques in Probability (27)
• 7.5: Conditional Probability and Independent Events (39)
• 7.6: Bayes' Theorem (34)
• 7: Review Exercises (36)

• Chapter 8: Probability Distributions and Statistics
• 8.1: Distributions of Random Variables (25)
• 8.2: Expected Value (32)
• 8.3: Variance and Standard Deviation (35)
• 8.4: The Binomial Distribution (39)
• 8.5: The Normal Distribution (20)
• 8.6: Applications of the Normal Distribution (20)
• 8: Review Exercises (26)

• Chapter 9: Markov Chains and the Theory of Games
• 9.1: Markov Chains (17)
• 9.2: Regular Markov Chains (17)
• 9.3: Absorbing Markov Chains (19)
• 9.4: Game Theory and Strictly Determined Games (20)
• 9.5: Games with Mixed Strategies (20)
• 9: Review Exercises (15)

• Chapter A: Introduction to Logic
• A.1: Propositions and Connectives
• A.2: Truth Tables
• A.3: The Conditional and Biconditional Connectives
• A.4: Laws of Logic
• A.5: Arguments
• A.6: Applications of Logic to Switching Networks

• Chapter B: The System of Real Numbers
• B.1: The System of Real Numbers

• Chapter C: Review of Logarithms
• C.1: Review of Logarithms

• Chapter D: Tables
• D.1: Binomial Probabilities
• D.2: The Standard Normal Distribution

Finite Mathematics for the Managerial, Life, and Social Sciences, 12th edition, by Soo T. Tan, helps your students see the relevance of mathematics in their lives. Praised by users for its clarity, easy-to-follow writing style, and excellent applications, the text's pedagogical features and exciting array of supplements equip students with the tools they need to make the most of their study time and succeed in the course. Emphasis is placed on helping students formulate, solve, and interpret results of applied problems. Graphs and illustrations are used to help students visualize the concepts being presented. The WebAssign component for this title engages students with many features and links to a complete eBook.

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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.

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GRAY questions are under development

Group Quantity Questions
Chapter 1: Straight Lines and Linear Functions
1.R 17 002.CMI 004.CMI 007 009 011 013 015 019 021.CMI 024 027 031 034.CMI 035.CMI 037.CMI 038.CMI 039.CMI
1.1 29 002 004 006 008 010 012 014 016 018 020 022.CMI 024.CMI 025 026 027 029.CMI 030.CMI 032.CMI 033.CMI 034 035 036.CMI 037.CMI 040.CMI 041.CMI 043.CMI 044 047 050
1.2 56 002.CMI 003 004 006.CMI 008 010 012 014 016 018 020.CMI 022 024.CMI 025 026 028.CMI 030 031 032 034.CMI 035 036 038 040 042 044.CMI 045 046 047 048 049 052 054 055 056 058 059 060 062 063 064 066 070 071 076 077.CMI 079 080 081 082 083 084 085.CMI 086 092 501.XP
1.3 32 002 004 006 007 008 010 014 015 016 017 018 020 022 023 027 028 031 033 035 036.CMI 037 038.CMI 040 042 044.CMI 046 048 050 052 053 056 501.XP.CMI
1.4 22 002.CMI 004.CMI 006.CMI 008 010 011 012 013 014 015.CMI 016.CMI 018.CMI 020.CMI 021 022 024 026 028.CMI 029.CMI 030 032 034
1.5 28 002.CMI 004.CMI 005.CMI 006.CMI 007.CMI 009.CMI 010 011 014 015 016 017.CMI 024 501.XP.CMI 502.XP 503.XP.CMI 504.XP 505.XP.CMI 506.XP.CMI 507.XP.CMI 508.XP 509.XP.CMI 510.XP 511.XP 512.XP 513.XP 514.XP.CMI 5015.XP
Chapter 2: Systems of Linear Equations and Matrices
2.R 23 001.CMI 004.CMI 006 007 008 010 012 014 018 020 021 023 024 026.CMI 028.CMI 030.CMI 034 036 038 040 041.CMI 044 046
2.1 29 001.CMI 002 004 006 008.CMI 009 010 011 012 014 016 018 019 020 021 023.CMI 024.CMI 026.CMI 028.CMI 031.CMI 032.CMI 034 036.CMI 037.CMI 038.CMI 040 042 044 045
2.2 49 001 002 004 005 006.CMI 008 009 010.CMI 011 012 014.CMI 016 018 019 020 022.CMI 024 026.CMI 028.CMI 029 030.CMI 034 036 038 040 042 044 045 047 048 050 052 054 056 057 062.CMI 064.CMI 065 066 070.CMI 072 074.CMI 076.CMI 078 079 080.CMI 082.CMI 087 089
2.3 34 002 003 004.CMI 006 007 008 010.CMI 011 012 014 015.CMI 016.CMI 017.CMI 018.CMI 019.CMI 020.CMI 021 023.CMI 024.CMI 026 027.CMI 028 030.CMI 032.CMI 034.CMI 036.CMI 038 039 041 047 048 049 050 052
2.4 36 001 002 003 004 006 007 009.CMI 010.CMI 012.CMI 014.CMI 015.CMI 016.CMI 017.CMI 018.CMI 019.CMI 021.CMI 022.CMI 023 024 026.CMI 027 035 036 038 039 046.CMI 047.CMI 050 052 053 054 056 058 501.XP 502.XP 503.XP
2.5 41 002 003 004 007 008.CMI 010.CMI 011 012.CMI 014.CMI 016.CMI 017 018.CMI 019 020.CMI 022.CMI 024 027 028.CMI 031 032 033 034 036.CMI 039 040.CMI 041 042 044.CMI 050 052 055.CMI 057 058.CMI 059 060.CMI 062 063 064 066.CMI 067 070
2.6 33 006.CMI 007 008.CMI 009 010.CMI 012.CMI 014.CMI 015.CMI 016.CMI 018 019 020 022 023 024 026 028 029 030 031 032 034.CMI 035 038 039 040.CMI 042 043 044 046 052 054 058
2.7 13 003.CMI 004.CMI 005.CMI 006.CMI 007.CMI 008.CMI 009.CMI 010.CMI 012.CMI 013.CMI 014.CMI 015.CMI 016.CMI
Chapter 3: Linear Programming: A Geometric Approach
3.R 16 001 002 003 004 005 006 007 008 009 011.CMI 013 014 015.CMI 016.CMI 017.CMI 018.CMI
3.1 28 002.CMI 004.CMI 006.CMI 008.CMI 010.CMI 011 012.CMI 014.CMI 016.CMI 018.CMI 023 024.CMI 026.CMI 028 029 030.CMI 031 032.CMI 033.CMI 034 035 036.CMI 037.CMI 038.CMI 040.CMI 042 043 046
3.2 24 001.CMI 002.CMI 003.CMI 004 006 007.CMI 008.CMI 010.CMI 011.CMI 012.CMI 013.CMI 014 016 017.CMI 019.CMI 020.CMI 022.CMI 024.CMI 025.CMI 027.CMI 028.CMI 030.CMI 031.CMI 034
3.3 30 002 004.CMI 006 008.CMI 010 012.CMI 014.CMI 016.CMI 018.CMI 020.CMI 022 024.CMI 026 028.CMI 031.CMI 032.CMI 034 035 038.CMI 040.CMI 041.CMI 042.CMI 045 046 049 050 051 054 056.CMI 063
3.4 16 001.CMI 002.CMI 003.CMI 004.CMI 005 006.CMI 007.CMI 008.CMI 009.CMI 010.CMI 011 012.CMI 013.CMI 014.CMI 016.CMI 018.CMI
Chapter 4: Linear Programming: An Algebraic Approach
4.R 14 002.CMI 004.CMI 006 008.CMI 009 010.CMI 012 014 016.CMI 019 022.CMI 024.CMI 025.CMI 026.CMI
4.1 32 002 004 006 008 010 012 013 014 015 016 017 018.CMI 020.CMI 022.CMI 024.CMI 026.CMI 028.CMI 030.CMI 031 034.CMI 036.CMI 038.CMI 039 041.CMI 042 044 046.CMI 047.CMI 048.CMI 051 053 055
4.2 19 002.CMI 004.CMI 006.CMI 008 010 012 014.CMI 015 016.CMI 018.CMI 019 020.CMI 022 024 025.CMI 027 029 501.XP.CMI 502.XP.CMI
4.3 16 006.CMI 008.CMI 010.CMI 011 012.CMI 013.CMI 015.CMI 017 018.CMI 020.CMI 021.CMI 022.CMI 023 024 025 028.CMI
Chapter 5: Mathematics of Finance
5.R 17 001.CMI 002 004 005 008 010 014 017 021 022 024 026 028 029 031 032.CMI 034
5.1 49 002.CMI 004.CMI 006 008 009 010 012.CMI 014.CMI 016.CMI 018.CMI 019 020.CMI 021 022 024 026 027 028 030 033 034 036 038 039 040 042 046 048.CMI 050 052 054 055 058 062 063 064 066 068 069 070 071 074 076 078 084 086 088 090 501.XP
5.2 21 002 003 004 006 008 011 012 014 016 018 019 021 023 025 026 027 029 030 032 034 036
5.3 35 002.CMI 004.CMI 006 008.CMI 010.CMI 012 014.CMI 016.CMI 018.CMI 020.CMI 021 022 023 025.CMI 027 028.CMI 030.CMI 032.CMI 033 034.CMI 036 038 040 041 042 044 046 048.CMI 050.CMI 051 052 054 056 057 059
5.4 26 002.CMI 003 004.CMI 006 008 009 010 012 014 016 017 018 020 022 023 024 026 028 030 032 034 035 036 038 040 042
Chapter 6: Sets and Counting
6.R 20 002 004 006 008 022.CMI 024.CMI 026.CMI 028 030 032.CMI 033.CMI 034.CMI 038 040 041.CMI 042 043.CMI 044 047.CMI 048
6.1 44 003 004 005 006 007 009 010 012 016 017 018 020 021 022 023 024 026 027 029 032 033 034 035 036 037 038 040 042 045 046 048 050 052 053 054 065 066.CMI 067 068.CMI 072 073 074 077 080
6.2 28 004 008 010 011.CMI 012.CMI 014 015 016.CMI 018.CMI 020.CMI 021 023 024.CMI 026.CMI 028.CMI 030 031 036.CMI 038.CMI 040 043.CMI 044.CMI 046.CMI 047.CMI 048.CMI 049.CMI 050.CMI 052
6.3 25 001.CMI 002.CMI 003 004.CMI 005.CMI 006.CMI 007.CMI 008.CMI 009.CMI 010 012 014 018 022 024 026.CMI 028.CMI 029 031 032 033 036 038 040 501.XP
6.4 52 002 004 006 008 009 010 011 012 014.CMI 016 018 020 021 022 023 024 026 028 030 032.CMI 033 034 036.CMI 038.CMI 040 042 044 046.CMI 048.CMI 050 052 055.CMI 058 059 060 064 066 068 070 071 072 074.CMI 075 076 077 078 079 080 082 084 088 094
Chapter 7: Probability
7.R 36 001 002.CMI 004 005.CMI 006.CMI 007 009 010.CMI 011 013 015.CMI 016.CMI 018 019 020.CMI 021 022 024 025 027 028 030 032 033 034 039.CMI 040 043.CMI 044.CMI 045.CMI 501.XP.CMI 502.XP.CMI 503.XP 504.XP 505.XP 506.XP.CMI
7.1 30 001.CMI 002 003 004.CMI 006.CMI 007 008.CMI 010.CMI 012.CMI 014.CMI 015 016.CMI 017 018 020 022 023 024 026 028 030 035 036 037 038 040 042 044 048 052
7.2 36 002 004 006 008 010 012.CMI 013.CMI 014 016 020 023 024 026 028 029 030 032 033 034 035 036 037 038 040 041 042 043 045 046 047 048 050 051 052 054 501.XP
7.3 36 001 002.CMI 004 005 006 008.CMI 009 010 012 014.CMI 016 018 020 022 024.CMI 026 027 028 030.CMI 034 035.CMI 038 040.CMI 042 044 045.CMI 046 047.CMI 048.CMI 050 051.CMI 052 053.CMI 054 056 058
7.4 27 002.CMI 004 006 008.CMI 010 012.CMI 013 014 016.CMI 017.CMI 018.CMI 020.CMI 021.CMI 022.CMI 023 024 025.CMI 027 028.CMI 030.CMI 032.CMI 034 036.CMI 038.CMI 040 042.CMI 044
7.5 39 002.CMI 004.CMI 006.CMI 008 010.CMI 012.CMI 014.CMI 016 018 020 022 023 024 027 028 029 030.CMI 033.CMI 035.CMI 036.CMI 037 040 042.CMI 043 045.CMI 046.CMI 047 048 049.CMI 051 052 053 056.CMI 057 059 063 066 068 501.XP.CMI
7.6 34 002 003 005 006 008.CMI 010 012 014.CMI 016.CMI 018.CMI 020.CMI 021.CMI 024 028.CMI 030 032 034.CMI 036.CMI 037.CMI 038 040 041.CMI 043.CMI 045.CMI 046 047 048.CMI 049 050 052.CMI 053.CMI 501.XP 502.XP 503.XP
Chapter 8: Probability Distributions and Statistics
8.R 26 002 003 005 006 007 008 009.CMI 010.CMI 011.CMI 012.CMI 013.CMI 014.CMI 015.CMI 016.CMI 018 020 021.CMI 022.CMI 023.CMI 026.CMI 027 028 030 031 032 501.XP
8.1 25 001.CMI 002.CMI 003 004 005 006 007 008.CMI 009.CMI 010.CMI 011 014 016 018 019 020 022.CMI 023 025.CMI 026.CMI 027.CMI 028.CMI 030 032 034.CMI
8.2 32 001.CMI 002.CMI 004 005.CMI 006.CMI 007 009.CMI 010 012.CMI 014.CMI 016 018 020 022 024 026.CMI 028.CMI 029 032 034.CMI 035.CMI 036.CMI 038.CMI 040.CMI 041 044 045.CMI 046.CMI 048.CMI 049.CMI 052 501.XP
8.3 35 001.CMI 002 003.CMI 004 005.CMI 006 007 009.CMI 010 011.CMI 012 014.CMI 015.CMI 016 018 019 021 022 024 026 028 030 032.CMI 034 035 036 038 039 041.CMI 042.CMI 044.CMI 046.CMI 048.CMI 501.XP 502.XP
8.4 39 007 008.CMI 009 010 011 012 013.CMI 015 016 017.CMI 018.CMI 020.CMI 022 024 026 027 029 030.CMI 031 032 033 034.CMI 037.CMI 038 039 041 042 046 047 048 050 051 052.CMI 054 057 058 501.XP.CMI 502.XP 503.XP
8.5 20 001.CMI 002.CMI 003.CMI 004.CMI 005.CMI 006.CMI 007.CMI 008.CMI 009.CMI 010.CMI 011.CMI 012.CMI 013.CMI 014.CMI 015.CMI 016.CMI 017.CMI 018.CMI 019.CMI 020.CMI
8.6 20 001.CMI 002.CMI 003.CMI 004.CMI 005.CMI 006.CMI 007.CMI 008.CMI 009.CMI 010.CMI 012.CMI 013.CMI 014.CMI 015.CMI 016.CMI 017.CMI 018.CMI 019.CMI 020 022.CMI
Chapter 9: Markov Chains and the Theory of Games
9.R 15 002 004 006.CMI 008.CMI 010 012 014.CMI 015.CMI 016.CMI 020.CMI 022 024.CMI 026.CMI 028 030.CMI
9.1 17 002 004 006 008 010 012 015 016.CMI 018.CMI 020.CMI 021 022.CMI 023 025 026.CMI 028.CMI 030
9.2 17 001 002 004 006 008 010.CMI 012.CMI 013 014.CMI 016.CMI 018.CMI 020.CMI 022.CMI 023 024.CMI 026.CMI 028
9.3 19 001 002.CMI 004.CMI 006.CMI 008.CMI 010 012 014 016.CMI 017 018.CMI 020.CMI 022.CMI 024.CMI 026.CMI 028 029 030.CMI 033
9.4 20 002.CMI 003.CMI 004.CMI 005.CMI 006 007.CMI 008.CMI 009.CMI 010.CMI 011.CMI 012.CMI 013.CMI 014.CMI 015.CMI 016.CMI 017.CMI 018.CMI 019.CMI 020.CMI 023.CMI
9.5 20 001.CMI 002.CMI 003.CMI 004.CMI 005.CMI 006.CMI 007.CMI 008.CMI 009.CMI 010.CMI 011.CMI 012.CMI 013.CMI 014.CMI 015.CMI 016.CMI 017 018 020.CMI 021.CMI
Total 1497