Applied Finite Mathematics: Brief 2nd edition

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Edmond C. Tomastik and Janice L. Epstein
Publisher: Cengage Learning

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  • Chapter 1: Systems of Linear Equations and Models
    • 1.1: Mathematical Modelus (12)
    • 1.2: Systems of Linear Equations (11)
    • 1.3: Gauss Elimination for Systems of Linear Equations (12)
    • 1.4: Systems of Linear Equations With Non-Unique Solutions (18)
    • 1.5: Method of Least Squares (12)

  • Chapter 2: Matrices
    • 2.1: Introduction to Matrices (17)
    • 2.2: Matrix Multiplication (19)
    • 2.3: Inverse of a Square Matrix (14)
    • 2.4: Additional Matrix Applications (6)

  • Chapter 3: Linear Programming: The Graphical Method
    • 3.1: Linear Programming Problems (9)
    • 3.2: Graphing Linear Inequalities (16)
    • 3.3: Graphical Solution of Linear Programming Problems (13)

  • Chapter 4: Sets and Probability
    • 4.1: Introduction to Sets (14)
    • 4.2: The Number of Elements in a Set (8)
    • 4.3: Sample Spaces and Events (7)
    • 4.4: Basics of Probability (14)
    • 4.5: Rules for Probability (11)
    • 4.6: Conditional Probability (15)
    • 4.7: Bayes' Theorem (14)

  • Chapter 5: Counting and Probability
    • 5.1: The Multiplication Principle and Permutations (10)
    • 5.2: Combinations (14)
    • 5.3: Probability Applications of Counting Principles (13)
    • 5.4: Bernoulli Trials (11)
    • 5.5: Binomial Theorem

  • Chapter 6: Probability Distributions and Statistics
    • 6.1: Random Variables and Histograms (8)
    • 6.2: Measures of Central Tendency (10)
    • 6.3: Measures of Spread (7)
    • 6.4: The Normal Distribution (9)
    • 6.5: Normal Approximation to the Binomial Distribution (9)

  • Chapter F: Finance
    • F.1: Simple Interest and Discount (11)
    • F.2: Compound Interest (12)
    • F.3: Annuities and Sinking Funds (5)
    • F.4: Present Value of Annuities and Amortization (5)

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Group Quantity Questions
Chapter F: Finance
F.1 11 002 004 006 010 012 016 018 020 024 026 028
F.2 12 002 004 010 012 016 018 020 022 024 028 030 032
F.3 5 006 016 018 022 026
F.4 5 004 014 032 038 040
Chapter 1: Systems of Linear Equations and Models
1.1 12 002 004 008 010 014 016 020 024 026 032 038 040
1.2 11 002 004 008 010 012 016 020 024 026 030 034
1.3 12 002 004 008 010 014 018 022 026 030 034 042 044
1.4 18 002 004 006 008 012 014 016 020 022 028 030 034 038 042 044 056 060 062
1.5 12 002 004 006 008 010 012 016 020 022 024 028 030
Chapter 2: Matrices
2.1 17 002 004 006 008 010 012 014 018 022 024 030 036 038 042 044 048 054
2.2 19 002 004 006 008 010 014 018 020 024 028 030 034 038 042 048 050 054 060 062
2.3 14 002 004 006 008 012 014 018 024 028 032 034 038 042 046
2.4 6 002 004 006 008 014 020
Chapter 3: Linear Programming: The Graphical Method
3.1 9 002 004 006 008 010 018 020 022 026
3.2 16 002 004 008 010 012 016 018 020 022 026 028 030 040 042 044 048
3.3 13 002 004 006 008 010 012 018 020 022 024 026 028 030
Chapter 4: Sets and Probability
4.1 14 002 006 010 012 014 018 020 024 026 028 034 038 042 044
4.2 8 002 008 010 012 014 018 024 028
4.3 7 002 006 008 010 016 018 020
4.4 14 002 004 006 008 010 012 014 018 020 022 026 028 030 034
4.5 11 002 004 006 008 013 016 017 020 022 026 028
4.6 15 002 006 010 012 014 018 020 024 026 028 034 038 042 044 048
4.7 14 002 004 006 008 010 012 014 019 020 022 024 026 028 030
Chapter 5: Counting and Probability
5.1 10 002 010 016 020 022 026 028 032 036 040
5.2 14 002 008 010 016 018 022 026 030 034 036 038 040 042 044
5.3 13 002 004 008 010 012 014 016 018 026 030 032 034 038
5.4 11 002 008 010 016 018 020 026 034 036 038 040
Chapter 6: Probability Distributions and Statistics
6.1 8 002 006 010 012 016 018 020 028
6.2 10 002 008 012 014 016 018 026 030 032 040
6.3 7 002 008 014 020 028 030 036
6.4 9 008 010 014 018 022 024 026 030 034
6.5 9 002 004 006 008 012 014 016 018 020
 Chapter 7
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