Statistics Explained: An Introductory Guide for Life Scientists

by Steve McKillup

Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those who do not have a strong mathematical background. Hypothesis testing and experimental design are discussed first. Statistical tests are then explained using pictorial examples and a minimum of formulae. This class-tested approach, along with a well-structured set of diagnostic tables, will give students the confidence to choose an appropriate test with which to analyze their own data sets. Presented in a lively and straightforward manner, Statistics Explained will give readers the depth and background necessary to proceed to more advanced texts and applications. It will therefore be essential reading for all bioscience undergraduates, and will serve as a useful refresher course for more advanced students.

Genres: Science

280 pages, Paperback

First published December 15, 2005

Reviews

[Jenny]

This might have been the best book on the subject every written but that doesn't make me like it one bit.

[Venkatesh-Prasad]

I strongly recommend this book as the first book for someone getting stared with statistics; say, high schoolers and undergrads. The author takes time to explain the concepts with elaborate examples (with every steps and no 'the reader can figure out the rest' crap) to help understand the concepts and, more importantly, how they are related both intuitively and mathematically. This aspect really helps when the author talk describes ANOVA.

[Dgg32]

Best statistics entry book.

[Hilary Chang]

I want to be friend with the author. He knows every questions I would asked along the way, to an extend I felt the book was alive and reading my mind sometimes.