Basic Mathematics and Statistics for Science is a low–level introduction to the essential techniques students need to understand. It assumes little prior knowledge, and adopts a gentle approach that leads through examples in the book and website.

No other text provides this range of educational support for science students. The integration between book and website provides study options that would be impossible through a book alone, and allows students to study in ways that suit their own circumstances and preferences.

The combination of book and website also provides ready–prepared material for lectures, tutorials and computer practicals. Tutors can use the material to develop a variety of coherent programme using different learning styles.

The book develops the mathematics and statistics through examples and questions that reflect the scientific context, and has succeeded in being relevant to a range of undergraduate science programmes.

From the Back Cover

Essential Mathematics and Statistics for Science is an invaluable text allowing undergraduate science students to develop the necessary skills and techniques needed for their chosen subject. Following a gentle introduction to the basic mathematical techniques used in science, the book uses numerous examples and in–text questions to develop the core of statistical analysis that underpins experimental design and measurement. A website integrates closely with the book as a source of additional content, wider applications and worked answers. The website also provides tutorials and examples for the practical use of EXCEL and statistics software in scientific calculations.

Applied approach providing mathematics and statistics from the first to final years of undergraduate science courses.
Website with additional content, exercises, examples and worked answers
The integrated website develops the practical use of EXCEL and statistics software for processing and analysing scientific data
Learning objectives are tested through the extensive use of in–text questions

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