Viva CatchUp : Maths and Stats : For the Life and Medical Sciences (Paperback)  | Released: 2007

Maths & Stats : If you are about to study for a degree in the life or medical sciences, you will need some core maths skills. You do not need to be a budding mathematician but you do need to be comfortable handling numbers.It’s hard to believe, but the maths and stats in this book is all presented i a really user-friendly manner to speed your understanding. In addition, the authors provide you with numerous examples to show you the relevance and application of maths and stats to your course. The book also contains lots of questions (and answers), so that you can test your understanding at any time - it really does get easier with practice. About the AuthorDr Michael Harris MB BS FRCGP MMEd is a GP and senior lecturer in postgraduate medicine in Bath. Until recently he was an examiner for the Royal College of General Practitioners. He has a special interest in the design of educational materials. Dr Gordon Taylor PhD MSc BSc (Hons) is a senior research fellow in medical statistics at the University of Bath. His main role is in the teaching, support and supervision of health-care professionals involved in non-commercial research. Mrs Jacquelyn Taylor MSc BSc (Hons) PGCE has worked in both secondary and higher education in mathematics and science.Table of Contents: How to use this book • Handling numbers • Working with fractions • Percentages • Powers • Approximation and errors • Introduction to graphs • The gradient of a graph • Algebra • Polynomials • Algebraic equations • Quadratic equations • Simultaneous equations • Sequences and series of numbers • Working with powers • Logarithms • Exponential growth and decay • Circles and spheres • Differential calculus • Integral calculus • Using and recognising graphs • Sl units • Moles • pH • Buffers • Kinetics • The language of statistics • Describing data: measuring averages • Standard deviation • Checking for a normal distribution • Degrees of freedom • How to use statistics to make comparisons • The standard error of the mean • Confidence intervals • Probability • Significance and P values • Tests of significance • t tests • Analysis of variance • The chi-squared test • Correlation • Regression • Bayesian statistics