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...

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 M...

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...

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...

From SAT scores to job search methods, statistics influences and shapes the world around us. Marty Triola's text continues to be the bestseller because it helps students understand the relationship between statistics and the world, bringing life to the theory and methods. Essentials of Statistics (a briefer version of Elementary Statistics-see below for the full series) raises the bar with every edition by incorporating an unprecedented amount of real and interesting data that will help instr...

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.

For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field.

This revision focuses on improved clarity and deeper understan...