The Bittinger Worktext Series recognizes that math hasnt changed, but studentsand the way they learn mathhave. This latest edition continues the Bittinger tradition of objective-based, guided learning, while also integrating timely updates to the proven pedagogy. This edition has a greater emphasis on guided learning and helping students get the most out of all of the resources available,…
This reader-friendly liberal arts mathematics text is organized into three thematic parts—Life, Society, and the World—to highlight the relevance of math in everyday contexts. It features rich ideas, visualizations, and minimal prerequisite review. Topics span descriptive and inferential statistics, probability, consumer and management math, logical reasoning, voting systems, geometry, grow…
Designed for a reform-based approach, this textbook integrates graphing, numeric investigation, and algebraic methods to deepen understanding. Using graphing utilities as a core tool, it emphasizes developing a “library of elementary functions” through real-world data, paired algebraic/graphical solutions, and problem-solving. It bridges theory and application for college-level algebra and …
This reader-friendly liberal arts mathematics text is organized into three thematic parts—Life, Society, and the World—to highlight the relevance of math in everyday contexts. It features rich ideas, visualizations, and minimal prerequisite review. Topics span descriptive and inferential statistics, probability, consumer and management math, logical reasoning, voting systems, geometry, grow…
This collaborative, lab-based textbook emphasizes quantitative literacy through real-world, problem-solving approaches. Topics include arithmetic, algebra, statistics, probability, curve-fitting, apportionment, spreadsheets, and basic computing skills. Designed for cooperative learning environments, it integrates technology with collaborative strategies to build the quantitative reasoning skill…
This widely-used textbook offers a comprehensive introduction to discrete mathematics tailored for students in computer science, engineering, and mathematics. It covers topics such as logic, proof techniques, set theory, functions, algorithms, number theory, combinatorics, probability, relations, graphs, trees, Boolean algebra, and computational models. Known for its extensive examples, real-wo…
A clear, application-focused finite math text for students in business, social sciences, and life sciences. Covers linear equations, matrices, linear programming (including simplex), counting methods, probability, statistics, Markov chains, game theory, finance, difference equations, logic, and more. Includes real-world projects, calculator/spreadsheet exercises, and extensive problem sets.
Differential Equations: A Systems Approach by Bruce P. Conrad introduces differential equations through the lens of systems and linear algebra. Emphasizing the structure and behavior of solutions, the book integrates analytical methods with qualitative and numerical techniques. Designed for students in mathematics, engineering, and the sciences, it promotes a deeper conceptual understanding of …
This textbook provides an accessible introduction to mathematical concepts and techniques essential for students in business, economics, life sciences, and social sciences. Covering topics such as functions, algebra, calculus, probability, and optimization, the book emphasizes real-world applications to foster problem-solving skills. Designed for learners with varied mathematical backgrounds, i…
A well-established introductory statistics text for undergraduates, this edition retains Freund's accessible style and practical focus, covering data description, probability, sampling, hypothesis testing, regression, ANOVA, and nonparametric tests. It streamlines computational details and incorporates technology guidance to support modern learners.