The Analysis of Biological Data
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Beschreibung
The authors 3 decades of experience in teaching has shown that biology students learn data analysis best in the context of interesting examples drawn from the medical and biological literature. Statistics is a means to an end, a tool to learn about the human and natural world. By emphasizing what we can learn about the science, the power and value of statistics becomes plain. Every chapter has several biological or medical examples of key concepts, and each example is prefaced by a substantial description of the biological setting. The examples are illustrated with photos of the real organisms, so that students can visualise the concepts they are learning about.For the first time, this textbook comes with SaplingPlus, the best online resource to teach students the problem-solving skills they need to succeed in Statistics. SaplingPlus combines Sapling’s acclaimed automatically-graded online homework with an extensive suite of engaging multimedia learning resources.To learn more about SaplingPlus and how to purchase access, visit www.macmillanihe/sapling
The evolution of a classic
The new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level. The hallmark focuses on genetic analysis, quantitative problem solving, and experimentation continue in this new edition while incorporating robust updates to the science.
Introduction to Genetic Analysis is now supported in Achieve, Macmillan’s new online learning platform. Achieve is the culmination of years of development work put toward creating the most powerful online learning tool for biology students. It houses all of our renowned assessments, multimedia assets, e-books, and instructor resources in a powerful new platform.Continues to lead with its rigorous problem sets and pedagogical support in the text.
Model Organism boxes describe key features of a model organism.
Genetics and Society Questions at the end of each chapter.
Students studying courses in Biological Statistics at university undergraduate level.
Autor*in
Michael C. Whitlock
Themen in »The Analysis of Biological Data«
Statistics for Life Science Biostatistics Biological Statistics Whitlock Schluter