2025 Higher Education Learning Solutions Catalog

A Course Module for Mathematics in the Modern World

Module 6 Commercial Mathematics

91 Lesson 1 Simple Interest ................................... 92 Lesson 2 Compound Interest ................................ 96 Lesson 3 StocksandBonds ................................. 99 108 Lesson 1 FundamentalsofGraphTheory...................... 109 Lesson 2 Euler’s Formula . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 Lesson 3 Graph Coloring ................................... 117 122 Lesson 1 Solving Systems of Linear Inequalities . . . . . . . . . . . . . . . . . 123 Lesson 2 Linear Programming ............................... 129 136 Lesson 1 Propositions ...................................... 137 Lesson 2 Truth Tables and Tautologies ........................ 143 Lesson 3 Conditional, Biconditional, and Related Statements. . . . . . . . . 151 Lesson 4 SymbolicArguments............................... 158 Lesson 5 ArgumentsandEulerDiagrams...................... 167

2025 04-MB-00068-0 978-621-04-5553-3 Core

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Module 7 Mathematics of Graphs

CONTENTS Contents

Module 8 Linear Programming

Preface ................................................................ v Module 1 The Nature of Mathematics 1 Lesson 1 Mathematics in Nature ............................. 2 Lesson 2 Numbers and Patterns ............................. 7 Module 2 Mathematics as a Language 13 Lesson 1 TheLanguageofMathematics....................... 14 Lesson 2 Elementary Logic: Connectives, Variables, Quantifiers,andNegations.......................... 22 Module 3 Problems, Reasons, and Solutions in Mathematics 30

Module 9 Logic

Index .................................................................. 178

Lesson 1 InductiveReasoning ............................... 31 Lesson 2 DeductiveReasoning .............................. 35 41 Lesson 1 Classification and Organization of Data. . . . . . . . . . . . . . . . 42 Lesson 2 MeasuresofCentralTendency....................... 44 Lesson 3 MeasuresofDispersion ............................ 48 Lesson 4 Symmetric and Asymmetric Distributions . . . . . . . . . . . . . . 51 Lesson 5 Presentation and Interpretation of Data . . . . . . . . . . . . . . . 53 65 Lesson 1 Normal Distribution ............................... 66 Lesson 2 LinearCorrelationAnalysis.......................... 79 Lesson 3 Simple Linear Regression Analysis . . . . . . . . . . . . . . . . . . . . 84 91 Lesson 1 Simple Interest ................................... 92 Lesson 2 Compound Interest ................................ 96 Lesson 3 StocksandBonds ................................. 99 108 Lesson 1 FundamentalsofGraphTheory...................... 109 Lesson 2 Euler’s Formula . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 Lesson 3 Graph Coloring ................................... 117 122 Lesson 1 Solving Systems of Linear Inequalities . . . . . . . . . . . . . . . . . 123 Lesson 2 Linear Programming ............................... 129 136 Lesson 1 Propositions ...................................... 137 Lesson 2 Truth Tables and Tautologies ........................ 143 Lesson 3 Conditional, Biconditional, and Related Statements. . . . . . . . . 151 Lesson 4 SymbolicArguments............................... 158 Lesson 5 ArgumentsandEulerDiagrams...................... 167

Module 4 Statistics and Data

iv

Module 5 Data Management Tools

Module 6 Commercial Mathematics

iii

Module 7 Mathematics of Graphs

Module 8 Linear Programming

Module 9 Logic

2025 Higher Education Learning Solutions for the General Education Program 530

Index .................................................................. 178

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