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Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences, Fourteenth Edition Plus MyLab Math with Pearson eText -- Access Card Package,
14th edition

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MyLab

Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences, Fourteenth Edition Plus MyLab Math with Pearson eText -- Access Card Package

ISBN-13: 9780134773612

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Personalize Learning with Pearson MyLab Math

MyLab Math is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them better absorb course material and understand difficult concepts.

Pedagogy and Hallmark Features

Applications: An abundance and variety of applications for the intended audience appear throughout the book so that students see frequently how the mathematics they are learning can be used. These applications cover such diverse areas as business, economics, biology, medicine, sociology, psychology, ecology, statistics, earth science, and archaeology. Many of these applications are drawn from literature and are documented by references, sometimes from the Web. In some, the background and context are given in order to stimulate interest. However, the text is self-contained, in the sense that it assumes no prior exposure to the concepts on which the applications are based. (See, for example, Chapter 15, Section 7, Example 2.)

Now Work Problem N: Throughout the text we have retained the popular Now Work Problem N feature. The idea is that after a worked example, students are directed toan end of section problem (labeled with a colored exercise number) that reinforces theideas of the worked example. This gives students an opportunity to practice what theyhave just learned. Because the majority of these keyed exercises are odd-numbered, studentscan immediately check their answer in the back of the book to assess their level ofunderstanding. The complete solutions to the odd-numbered exercises can be found inthe Student Solutions Manual.

Cautions: Cautionary warnings are presented in very much the same way an instructor would warn students in class of commonly-made errors. These appear in the margin, along with other explanatory notes and emphases.

Definitions, key concepts, and important rules and formulas: These are clearly stated and displayed as a way to make the navigation of the book that much easier for the student. (See, for example, the Definition of Derivative in Section 11.1)

Review material: Each chapter has a review section that contains a list of important terms and symbols, a chapter summary, and numerous review problems. In addition, key examples are referenced along with each group of important terms and symbols.

Inequalities and slack variables: In Section 1.2, when inequalities are introduced we point out that a _ b is equivalent to “there exists a non-negative number s such that a C s D b”. The idea is not deep but the pedagogical point is that slack variables, key to implementing the simplex algorithm in Chapter 7, should be familiar and not distract from the rather technical material in linear programming.

Absolute value: It is common to note that ja ¿ bj provides the distance from a to b. In Example 4e of Section 1.4 we point out that “x is less than _ units from _” translates as jx ¿ _j < _. In Section 1.4 this is but an exercise with the notation, as it should be, but the point here is that later (in Chapter 9) _ will be the mean and _ the standard deviation of a random variable. Again we have separated, in advance, a simple idea from a more advanced one. Of course Problem 12 of Problems 1.4, which asks the student to set up jf.x/ ¿ Lj < _, has a similar agenda for Chapter 10 on limits.

Early treat

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