Finite Mathematics & Its Applications 10th edition

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Larry J. Goldstein, David I. Schneider, and Martha J. Siegel
Publisher: Pearson Education


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  • Chapter 1: Linear Equations and Straight Lines
    • 1.1: Coordinate Systems and Graphs (6)
    • 1.2: Linear Inequalities (4)
    • 1.3: The Intersection Point of a Pair of Lines (4)
    • 1.4: The Slope of a Straight Line (4)
    • 1.5: The Method of Least Squares (4)

  • Chapter 2: Matrices
    • 2.1: Solving Systems of Linear Equations I (11)
    • 2.2: Solving Systems of Linear Equations II (10)
    • 2.3: Arithmetic Operations on Matrices (19)
    • 2.4: The Inverse of a Matrix (8)
    • 2.5: The Gauss-Jordan Method for Calculating Inverses
    • 2.6: Input-Output Analysis (10)
    • 2: Test (2)

  • Chapter 3: Linear Programming, A Geometric Approach
    • 3.1: A Linear Programming Problem (4)
    • 3.2: Linear Programming I (7)
    • 3.3: Linear Programming II (4)

  • Chapter 4: The Simplex Method
    • 4.1: Slack Variables and the Simplex Tableau
    • 4.2: The Simplex Method I: Maximum Problems
    • 4.3: The Simplex Method II: Minimum Problems
    • 4.4: Sensitivity Analysis and Matrix Formulations of Linear Programming Problems
    • 4.5: Duality

  • Chapter 5: Sets and Counting
    • 5.1: Sets (5)
    • 5.2: A Fundamental Principle of Counting (10)
    • 5.3: Venn Diagrams and Counting (14)
    • 5.4: The Multiplication Principle (11)
    • 5.5: Permutations and Combinations (14)
    • 5.6: Further Counting Problems (19)
    • 5.7: The Binomial Theorem
    • 5.8: Multinomial Coefficients and Partitions

  • Chapter 6: Probability
    • 6.1: Introduction
    • 6.2: Experiments, Outcomes, Sample Spaces, and Events (7)
    • 6.3: Assignment of Probabilities (9)
    • 6.4: Calculating Probabilities of Events (14)
    • 6.5: Conditional Probability and Independence (19)
    • 6.6: Tree Diagrams (13)
    • 6.7: Bayes' Theorem (11)
    • 6.8: Simulation

  • Chapter 7: Probability and Statistics
    • 7.1: Visual Representations of Data (6)
    • 7.2: Frequency and Probability Distributions (6)
    • 7.3: Binomial Trials (9)
    • 7.4: The Mean (12)
    • 7.5: The Variance and Standard Deviation (7)
    • 7.6: The Normal Distribution (20)
    • 7.7: Normal Approximation to the Binomial Distribution (6)

  • Chapter 8: Markov Processes
    • 8.1: The Transition Matrix (13)
    • 8.2: Regular Stochastic Matrices (9)
    • 8.3: Absorbing Stochastic Matrices (13)
    • 8: Test (2)
    • 8: Supplementary Exercises (3)

  • Chapter 9: The Theory of Games
    • 9.1: Games and Strategies
    • 9.2: Mixed Strategies
    • 9.3: Determining Optimal Mixed Strategies

  • Chapter 10: The Mathematics of Finance
    • 10.1: Interest (13)
    • 10.2: Annuities (15)
    • 10.3: Amortization of Loans (15)
    • 10.4: Personal Finance Decisions (24)
    • 10: Supplementary Exercises
    • 10: Test (1)

  • Chapter 11: Difference Equations and Mathematical Models
    • 11.1: Introduction to Difference Equations I
    • 11.2: Introduction to Difference Equations II
    • 11.3: Graphing Difference Equations
    • 11.4: Mathematics of Personal Finance
    • 11.5: Modeling with Difference Equations

  • Chapter 12: Logic
    • 12.1: Introduction to Logic
    • 12.2: Truth Tables
    • 12.3: Implication
    • 12.4: Logical Implication and Equivalence
    • 12.5: Valid Argument
    • 12.6: Predicate Calculus
    • 12.7: Logic Circuits

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Group Quantity Questions
Chapter 1: Linear Equations and Straight Lines
1.1 6 001 014 020 034 042 052
1.2 4 006 024 048 054
1.3 4 021 023 024 025
1.4 4 006 012 034 088
1.5 4 002 006 012 016
Chapter 2: Matrices
2.T 2 006 009
2.1 11 029 031 037 039 043 049 051 055 056 059 060
2.2 10 009 015 023 027 029 030 032 033 037 039
2.3 19 007 015 017 021 027 033 037 043 045 047 048 049 051 055 056 058 059 062 064
2.4 8 011 015 016 017 018 019 025 031
2.6 10 005 006 007 008 011 012 013 014 015 016
Chapter 3: Linear Programming, A Geometric Approach
3.1 4 002 005 008 010
3.2 7 004 012 025 030 033 036 041
3.3 4 018 020 026 034
Chapter 4: The Simplex Method
4 0  
Chapter 5: Sets and Counting
5.1 5 010 014 032 040 048
5.2 10 001 003 005 009 011 012 013 014 015 017
5.3 14 015 017 023 027 029 031 032 033 037 045 046 047 049 055
5.4 11 011 017 019 021 023 025 031 033 037 048 052
5.5 14 005 007 011 021 025 027 031 033 039 041 052 059 066 076
5.6 19 005 006 007 010 011 012 013 014 015 016 017 019 023 026 030 031 037 038 048
Chapter 6: Probability
6.2 7 001 003 007 009 011 015 019
6.3 9 001 003 005 007 009 017 019 023 030
6.4 14 001 003 007 009 013 015 017 018 019 021 022 029 030 046
6.5 19 001 002 003 005 007 009 011 012 013 014 015 017 021 023 031 037 038 039 040
6.6 13 004 006 007 008 012 013 014 018 020 021 029 030 036
6.7 11 001 003 005 007 009 011 012 013 014 015 020
Chapter 7: Probability and Statistics
7.1 6 004 010 013 016 021 026
7.2 6 001 002 007 009 011 021
7.3 9 001 003 005 007 009 010 011 013 019
7.4 12 001 005 006 007 009 011 012 017 027 029 031 035
7.5 7 001 005 007 008 019 027 028
7.6 20 001 003 005 007 009 010 011 012 023 024 025 026 031 033 035 036 037 038 039 045
7.7 6 002 004 006 011 013 022
Chapter 8: Markov Processes
8.S 3 009 014 016
8.T 2 005 007
8.1 13 001 010 011 012 014 019 021 024 025 026 027 028 029
8.2 9 005 007 012 014 016 019 020 024 027
8.3 13 002 004 007 013 015 020 021 022 025 026 027 028 029
Chapter 9: The Theory of Games
9 0  
Chapter 10: The Mathematics of Finance
10.T 1 013
10.1 13 001 005 007 009 015 019 023 027 043 045 055 062 063
10.2 15 001 005 007 009 011 012 023 025 027 033 035 039 045 046 048
10.3 15 001 003 005 007 011 013 017 019 020 021 025 026 028 039 040
10.4 24 003 004 005 006 007 008 025 027 029 031 033 039 041 042 043 044 049 050 051 052 053 054 055 056
Chapter 11: Difference Equations and Mathematical Models
11 0  
Chapter 12: Logic
12 0  
Total 417