This handbook is a convenient bench companion for biologists, designed as a handy reference guide for elementary and intermediate statistical analyses. Statistical methods most frequently used in publications and reports, as well as guidelines for the interpretation of results, are explained using simple examples with complete instructions for Excel.

Analytical chemists must use a range of statistical tools in their treatment of experimental data to obtain reliable results. Practical Statistics for the Analytical Scientist is a manual designed to help them negotiate the daunting specialist terminology and symbols. Prepared in conjunction with the Department of Trade and Industry's Valid Analytical Measurement (VAM) programme, this volume covers the basic statistics needed in the laboratory. It describes the statistical procedures that are most likely to be required including summary and descriptive statistics, calibration, outlier testing, analysis of variance and basic quality control procedures. To improve understanding, many examples provide the user with material for consolidation and practice. The fully worked answers are given both to check the correct application of the procedures and to provide a template for future problems. Practical Statistics for the Analytical Scientist will be welcomed by practising analytical chemists as an important reference for day to day statistics in analytical chemistry.

Using R at the Bench: Step-by-Step Data Analytics for Biologists is a convenient bench-side handbook for biologists, designed as a handy reference guide for elementary and intermediate statistical analyses using the free/public software package known as "R." The expectations for biologists to have a more complete understanding of statistics are growing rapidly. New technologies and new areas of science, such as microarrays, next-generation sequencing, and proteomics, have dramatically increased the need for quantitative reasoning among biologists when designing experiments and interpreting results. Even the most routine informatics tools rely on statistical assumptions and methods that need to be appreciated if the scientific results are to be correct, understood, and exploited fully. Although the original Statistics at the Bench is still available for sale and has all examples in Excel, this new book uses the same text and examples in R. A new chapter introduces the basics of R: where to download, how to get started, and some basic commands and resources. There is also a new chapter that explains how to analyze next-generation sequencing data using R (specifically, RNA-Seq). R is powerful statistical software with many specialized packages for biological applications and Using R at the Bench: Step-by-Step Data Analytics for Biologists is an excellent resource for those biologists who want to learn R. This handbook for working scientists provides a simple refresher for those who have forgotten what they once knew and an overview for those wishing to use more quantitative reasoning in their research. Statistical methods, as well as guidelines for the interpretation of results, are explained using simple examples. Throughout the book, examples are accompanied by detailed R commands for easy reference.

Work at the biology bench requires an ever-increasing knowledge of mathematical methods and formulae. This is a compilation of the most common mathematical concepts and methods in molecular biology, with clear, straightforward guidance on their application to research investigations.

A clue hidden in a toy ship leads Tintin on a dangerous treasure hunt.

#1 NEW YORK TIMES BESTSELLER • Meghan, The Duchess of Sussex’s first children’s book, The Bench, beautifully captures the special relationship between father and son, as seen through a mother’s eyes. The book’s storytelling and illustration give us snapshots of shared moments that evoke a deep sense of warmth, connection, and compassion. This is your bench Where you’ll witness great joy. From here you will rest See the growth of our boy. In The Bench, Meghan, The Duchess of Sussex, touchingly captures the evolving and expanding relationship between father and son and reminds us of the many ways that love can take shape and be expressed in a modern family. Evoking a deep sense of warmth, connection, and compassion, The Bench gives readers a window into shared and enduring moments between a diverse group of fathers and sons—moments of peace and reflection, trust and belief, discovery and learning, and lasting comfort. Working in watercolor for the first time, Caldecott-winning, bestselling illustrator Christian Robinson expands on his signature style to bring joy and softness to the pages, reflecting the beauty of a father’s love through a mother’s eyes. With a universal message, this thoughtful and heartwarming read-aloud is destined to be treasured by families for generations to come.

This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.