## Applied Mathematics for Business, Economics, and the Social SciencesOffering comprehensive treatment of selected topics in finite mathematics and calculus, the fourth edition of this text provides an informal, non-intimidating presentation of the mathematical principles, techniques, and applications most useful to students in business, economics, and the life and social sciences. Oriented towards the needs of the student, the text retains such pedagogical features as Algebra Flashbacks, Notes to the Student, Points for Thought or Discussion, and an extensive array of problems and applications to support the learning process. |

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### Contents

SOME PRELIMINARIES | 2 |

Key Terms and Concepts | 29 |

Interpreting the Slope and y Intercept | 53 |

Copyright | |

83 other sections not shown

### Other editions - View all

Applied Mathematics for Business, Economics and the Social Sciences Frank S. Budnick No preview available - 1993 |

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annual antiderivative applications assigned Assume average axis basic variables Bernoulli process coefficients column compound amount computed concave constant constraint cost function critical point data points decreasing definite integral demand function determine the number difference quotient dollars earned equals the number estimated evaluate Example exponential functions feasible solutions Figure Follow-up Exercises Formulate gaussian elimination Given graph graphical identified illustrates increase independent variable indicates inequality inflection point intercept interest rate investment linear equation linear programming mathematical matrix Maximize minimize minimum nonbasic variables normally distributed number of units objective function optimal solution outcomes partial derivatives percent PRACTICE EXERCISE probability distribution problem profit quadratic function random variable rational function relative maximum represents result revenue function rule Section selected simplex method sketch slope slope-intercept form solution set solve system of equations Table total cost total revenue