Deepen and broaden subject knowledge to set yourself up for future success Foundation Maths 7th Edition by Croft and Davison has been written for students taking higher and further education courses who may not have specialised in mathematics on post-16 qualifications, and who require a working knowledge of mathematical and statistical tools. By providing careful and steady guidance in mathematical methods along with a wealth of practice exercises to improve your maths skills, Foundation Math...

For courses in Statistical Methods for the Social Sciences . Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes you have no previous knowledge of statistics and only a minimal mathematical background.

It contains sufficient material for a two-semester c...

Fundamentals of Differential Equations presents the basic theory of differential equations and offers a variety of modern applications in science and engineering. Available in two versions, these flexible texts offer the instructor many choices in syllabus design, course emphasis (theory, methodology, applications, and numerical methods), and in using commercially available computer software. Fundamentals of Differential Equations, Eighth Edition is suitable for a one-semester sophomore- or j...

Gain a deeper understanding of the latest contemporary approaches in linear algebra.

Linear Algebra and Its Applications 6th edition provides a strong introduction to the principles and foundations needed to understand practical linear algebra.

The textbook's easy-to-follow layout covers the core concepts of linear algebra, gradually introducing more complex topics in order to build your confidence as you learn. The text solidifies your knowledge by returning to challenging concepts throughou...

For courses in introductory statistics. Statistics: Informed Decisions Using Data gives students the tools to see a bigger picture and make informed choices. As a current introductory statistics instructor, Mike Sullivan III presents a text that is filled with ideas and strategies that work in today's classroom.

His practical emphasis resonates with students and helps them see that statistics is connected, not only to individual concepts, but also with the world at large.

Mathematical Proofs: A Transition to Advanced Mathematics, Third Edition, prepares students for the more abstract mathematics courses that follow calculus. Appropriate for self-study or for use in the classroom, this text introduces students to proof techniques, analyzing proofs, and writing proofs of their own. Written in a clear, conversational style, this book provides a solid introduction to such topics as relations, functions, and cardinalities of sets, as well as the theoretical aspects...

Introduce your students to the art and science of learning from data. Statistics: The Art and Science of Learning from Data, Global Edition, 5th edition is the ideal introduction to statistics, encouraging students to analyse data the right way by enquiring and searching for the right questions and information rather than just memorising procedures.

This text is rigorous, fairly traditional and is appropriate for engineering and science calculus tracks. Hallmarks are accuracy, strong engineering and science applications, deep problem sets (in quantity, depth, and range), and spectacular visuals.

Fraleigh and Beauregard's text is known for its clear presentation and writing style, mathematical appropriateness, and overall student usability. Its inclusion of calculus-related examples, true/false problems, section summaries, integrated applications, and coverage of Cn make it a superb text for the sophomore or junior-level linear algebra course. This Third Edition retains the features that have made it successful over the years, while addressing recent developments of how linear algebra...

For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analys...