。Brings together all essential elements of biosciences research into a single, coherent resource 。Places emphasis on active learning, with questions throughout the text and complementary tasks online, to reinforce essential concepts and skills 。Fully integrated online resources allow ultimate flexibility of use to support lectures and motivate students to fully explore factors in the book 。Online Resource Centre features a range of additional materials for lecturers and students to enhance the educational value of the text New to this edition 。New three part structure organizes the subject taking the reader from the planning stages, through the analysis of data, and on to the report write-up 。Expanded online resources to include an interactive risk assessment form with supporting notes, further integrated exercises, and a bank of test questions 。Increased coverage of practical techniques and legislation Scientific research is the ultimate tool in pushing forward the limit of our understanding. But, as with any tool, research is only powerful if used properly, and to its full effect. Research Methods in the Biosciences demystifies the process of research to equip every biosciences student with the skills they need to get the most out of their investigations. Research isn't solely about experimental design; the book leads them through all the factors that, together, enable effective research. These include planning your experiment; data collection, analysis, interpretation, and reporting; and legal, ethical, and health and safety considerations. Research Methods for the Biosciences brings together the knowledge and skills required of every good researcher as a coherent whole, making it the essential resource for any biosciences student. Table Of Contents Section 1: Planning your experiment 1: Where do I begin? 2: Planning your experiment 3: Questions, focus groups, and interviews 4: Research, the law, and you Section 2: Handling your data 5: What to do with raw data 6: An introduction to hypothesis testing 7: Hypothesis testing: do my data fit an expected ratio? 8: Hypothesis testing: associations and relationships 9: Hypothesis testing: do my samples come from the same population? Parametric data 10: Hypothesis testing: do my samples come from the same population? Non-parametric data Section 3: Reporting your results 11: Reporting your research Appendix a.How to choose a research project Appendix b.Planning your experiment Appendix c.Which statistical test should I choose? Appendix d.Tables of critical values for statistical tests Appendix e.Maths and statistics Glossary References Index