Finite Mathematics for Business; Economics; Life Sciences; and Social Sciences (13th Edition)

Download Finite Mathematics for Business; Economics; Life Sciences; and Social Sciences (13th Edition) written by Raymond A. Barnett, Michael R. Ziegler, Karl E. Byleen in PDF format. This book is under the category Business and bearing the isbn/isbn13 number 0321945522; 0321947622; 0321946723/9780321945525/ 9780321947628/ 9780321946720. You may reffer the table below for additional details of the book.

$19.99

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Specifications

book-author

Raymond A. Barnett, Michael R. Ziegler, Karl E. Byleen

publisher

Pearson; 13th edition

file-type

PDF

pages

704 pages

language

English

asin

B00KITL84U

isbn10

0321945522; 0321947622; 0321946723

isbn13

9780321945525/ 9780321947628/ 9780321946720


Book Description

Students majoring in business, social sciences, economics, or biological sciences should take one or two semester or quarter courses on finite mathematics during their sophomore or freshman year. This resource, Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences, 13th edition, by Barnett/Ziegler/Byleen (PDF), is written with the intention of assisting college students in assisting themselves to achieve success in the course. This ebook provides more built-in advice than any other available on the market, with a particular emphasis on basic skills, as well as a variety of additional elements that are student-friendly and can assist students in catching up or learning on their own. The teaching and learning experiences offered by this mathematics program are superior. How to do it: The textbook contains more than 4,200 exercises, which will assist you in developing the ideal assignments for your students while also providing ample support for prerequisite abilities. Math students can better help themselves learn the material covered in their courses by using the built-in guidance. This textbook’s flexible covering makes it possible for teachers to employ it in a manner that is tailored to their curriculum and preferred method of instruction. MyMathLab® is an online instructional, assignment, and assessment tool designed to integrate with your Pearson text to tailor learning and enhance performance. This book is accessible with MyMathLab®. Students are motivated to actively learn and remember difficult topics by being given a broad variety of tasks to choose from, all of which are interactive, interesting, and can be assigned to them. Students, if you are interested in purchasing this title with MyMathLab, please inquire with your teacher about the appropriate package ISBN.

P.S. In addition, it’s possible that we have the teacher resources (testbank, solutions, and so on) for the 13th edition of Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences. Get in touch for further information.

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Table of contents


Table of contents :
Cover
Contents
Preface
Chapter Dependencies
Student Supplements
Instructor Supplements
Technology Resources
Diagnostic Prerequisite Test
Part 1: A Library of Elementary Functions
Chapter 1: Linear Equations and Graphs
1.1 Linear Equations and Inequalities
Linear Equations
Linear Inequalities
Applications
1.2 Graphs and Lines
Cartesian Coordinate System
Graphs of Ax + By = C
Slope of a Line
Equations of Lines: Special Forms
Applications
1.3 Linear Regression
Slope as a Rate of Change
Linear Regression
Chapter 1: Summary and Review
Review Exercises
Applications
Chapter 2: Functions and Graphs
2.1 Functions
Equations in Two Variables
Definition of a Function
Functions Specified by Equations
Function Notation
Applications
2.2 Elementary Functions: Graphs and Transformations
A Beginning Library of Elementary Functions
Vertical and Horizontal Shifts
Reflections, Stretches, and Shrinks
Piecewise-Defined Functions
2.3 Quadratic Functions
Quadratic Functions, Equations, and Inequalities
Properties of Quadratic Functions and Their Graphs
Applications
2.4 Polynomial and Rational Functions
Polynomial Functions
Regression Polynomials
Rational Functions
Applications
2.5 Exponential Functions
Exponential Functions
Base e Exponential Functions
Growth and Decay Applications
Compound Interest
2.6 Logarithmic Functions
Inverse Functions
Logarithmic Functions
Properties of Logarithmic Functions
Calculator Evaluation of Logarithms
Applications
Chapter 2: Summary and Review
Review Exercises
Applications
Part 2: Finite Mathematics
Chapter 3: Mathematics of Finance
3.1 Simple Interest
The Simple Interest Formula
Simple Interest and Investments
3.2 Compound and Continuous Compound Interest
Compound Interest
Continuous Compound Interest
Growth and Time
Annual Percentage Yield
3.3 Future Value of an Annuity; Sinking Funds
Future Value of an Annuity
Sinking Funds
Approximating Interest Rates
3.4 Present Value of an Annuity; Amortization
Present Value of an Annuity
Amortization
Amortization Schedules
General Problem-Solving Strategy
Chapter 3: Summary and Review
Review Exercises
Applications
Chapter 4: Systems of Linear Equations; Matrices
4.1 Review: Systems of Linear Equations in Two Variables
Systems of Linear Equations in Two Variables
Graphing
Substitution
Elimination by Addition
Applications
4.2 Systems of Linear Equations and Augmented Matrices
Matrices
Solving Linear Systems Using Augmented Matrices
Summary
4.3 Gauss–Jordan Elimination
Reduced Matrices
Solving Systems by Gauss–Jordan Elimination
Application
4.4 Matrices: Basic Operations
Addition and Subtraction
Product of a Number k and a Matrix M
Matrix Product
4.5 Inverse of a Square Matrix
Identity Matrix for Multiplication
Inverse of a Square Matrix
Application: Cryptography
4.6 Matrix Equations and Systems of Linear Equations
Matrix Equations
Matrix Equations and Systems of Linear Equations
Application
4.7 Leontief Input–Output Analysis
Two-Industry Model
Three-Industry Model
Chapter 4: Summary and Review
Review Exercises
Applications
Chapter 5: Linear Inequalities and Linear Programming
5.1 Linear Inequalities in Two Variables
Graphing Linear Inequalities in Two Variables
Application
5.2 Systems of Linear Inequalities in Two Variables
Solving Systems of Linear Inequalities Graphically
Applications
5.3 Linear Programming in Two Dimensions: A Geometric Approach
A Linear Programming Problem
General Description of Linear Programming
Geometric Method for Solving Linear Programming Problems
Applications
Chapter 5: Summary and Review
Review Exercises
Applications
Chapter 6: Linear Programming: The Simplex Method
6.1 The Table Method: An Introduction to the Simplex Method
Standard Maximization Problems in Standard Form
Slack Variables
The Table Method: Basic Solutions and Basic Feasible Solutions
Basic and Nonbasic Variables
Summary
6.2 The Simplex Method: Maximization with Problem Constraints of the Form ≤
Initial System
Simplex Tableau
Pivot Operation
Interpreting the Simplex Process Geometrically
Simplex Method Summarized
Application
6.3 The Dual Problem: Minimization with Problem Constraints of the Form ≥
Formation of the Dual Problem
Solution of Minimization Problems
Application: Transportation Problem
Summary of Problem Types and Solution Methods
6.4 Maximization and Minimization with Mixed Problem Constraints
Introduction to the Big M Method
Big M Method
Minimization by the Big M Method
Summary of Solution Methods
Larger Problems: Refinery Application
Chapter 6: Summary and Review
Review Exercises
Applications
Chapter 7: Logic, Sets, and Counting
7.1 Logic
Propositions and Connectives
Truth Tables
Logical Implications and Equivalences
7.2 Sets
Set Properties and Set Notation
Venn Diagrams and Set Operations
Application
7.3 Basic Counting Principles
Addition Principle
Venn Diagram
Multiplication Principle
7.4 Permutations and Combinations
Factorials
Permutations
Combinations
Applications
Chapter 7: Summary and Review
Review Exercises
Applications
Chapter 8: Probability
8.1 Sample Spaces, Events, and Probability
Experiments
Sample Spaces and Events
Probability of an Event
Equally Likely Assumption
8.2 Union, Intersection, and Complement of Events; Odds
Union and Intersection
Complement of an Event
Odds
Applications to Empirical Probability
8.3 Conditional Probability, Intersection, and Independence
Conditional Probability
Intersection of Events: Product Rule
Probability Trees
Independent Events
Summary
8.4 Bayes’ Formula
8.5 Random Variable, Probability Distribution, and Expected Value
Random Variable and Probability Distribution
Expected Value of a Random Variable
Decision Making and Expected Value
Chapter 8: Summary and Review
Review Exercises
Applications
Chapter 9: Markov Chains
9.1 Properties of Markov Chains
Introduction
Transition and State Matrices
Powers of Transition Matrices
Application
9.2 Regular Markov Chains
Stationary Matrices
Regular Markov Chains
Applications
Graphing Calculator Approximations
9.3 Absorbing Markov Chains
Absorbing States and Absorbing Chains
Standard Form
Limiting Matrix
Graphing Calculator Approximations
Chapter 9: Summary and Review
Review Exercises
Applications
Chapter 10: Games and Decisions
10.1 Strictly Determined Games
Strictly Determined Matrix Games
Nonstrictly Determined Matrix Games
10.2 Mixed-Strategy Games
Nonstrictly Determined Games: Example
Pure and Mixed Strategies
Expected Value of a Game
Fundamental Theorem of Game Theory
Solution to a 2 : 2 Matrix Game
Recessive Rows and Columns
10.3 Linear Programming and 2 : 2 Games: A Geometric Approach
10.4 Linear Programming and m : n Games: Simplex Method and the Dual Problem
Chapter 10: Summary and Review
Review Exercises
Applications
Chapter 11: Data Description and Probability Distributions
11.1 Graphing Data
Bar Graphs, Broken-Line Graphs, and Pie Graphs
Frequency Distributions
Comments on Statistics
Histograms
Frequency Polygons and Cumulative Frequency Polygons
11.2 Measures of Central Tendency
Mean
Median
Mode
11.3 Measures of Dispersion
Range
Standard Deviation: Ungrouped Data
Standard Deviation: Grouped Data
Significance of Standard Deviation
11.4 Bernoulli Trials and Binomial Distributions
Bernoulli Trials
Binomial Formula: Brief Review
Binomial Distribution
Application
11.5 Normal Distributions
Normal Distribution
Areas under Normal Curves
Approximating a Binomial Distribution with a Normal Distribution
Chapter 11: Summary and Review
Review Exercises
Applications
Appendix
Appendix A: Basic AlgebraReview
A.1 Real Numbers
Set of Real Numbers
Real Number Line
Basic Real Number Properties
Further Properties
Fraction Properties
A.2 Operations on Polynomials
Natural Number Exponents
Polynomials
Combining Like Terms
Addition and Subtraction
Multiplication
Combined Operations
A.3 Factoring Polynomials
Common Factors
Factoring by Grouping
Factoring Second-Degree Polynomials
Special Factoring Formulas
Combined Factoring Techniques
A.4 Operations on Rational Expressions
Reducing to Lowest Terms
Multiplication and Division
Addition and Subtraction
Compound Fractions
A.5 Integer Exponents and Scientific Notation
Integer Exponents
Scientific Notation
A.6 Rational Exponents and Radicals
nth Roots of Real Numbers
Rational Exponents and Radicals
Properties of Radicals
A.7 Quadratic Equations
Solution by Square Root
Solution by Factoring
Quadratic Formula
Quadratic Formula and Factoring
Other Polynomial Equations
Application: Supply and Demand
Appendix B: Special Topics
B.1 Sequences, Series, and Summation Notation
Sequences
Series and Summation Notation
B.2 Arithmetic and Geometric Sequences
Arithmetic and Geometric Sequences
nth-Term Formulas
Sum Formulas for Finite Arithmetic Series
Sum Formulas for Finite Geometric Series
Sum Formula for Infinite Geometric Series
Applications
B.3 Binomial Theorem
Factorial
Development of the Binomial Theorem
Appendix C: Tables
Table I Area under the Standard Normal Curve
Table II Basic Geometric Formulas
Answers
Index
Index of Applications

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