{"product_id":"basic-statistics-for-life-scientists-a-concise-handbook-of-essential-techniques-hardback-9781394284962","title":"Basic Statistics for Life Scientists; A Concise Handbook of Essential Techniques (Hardback) 9781394284962","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eBasic Statistics for Life Scientists\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eA Concise Handbook of Essential Techniques\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eJakub Tomek (Author), David Eisner (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394284962, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 20 November 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e208 pages\u003cbr\u003e23.5 x 15.7 x 1.9 cm, 0.425 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eConcise and approachable yet rigorous discussion of the appropriate use of statistical techniques in life science research\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eBasic Statistics for Life Scientists\u003c\/i\u003e is an approachable, concise handbook of essential statistical techniques that teaches correct practice in the life sciences and related fields, helping readers become competent users of statistics and assisting them in identifying the best statistical method for their research question while also being aware of its strengths and limitations. The book is supported by illustrations and real-world examples explaining how to apply the techniques using statistical software tools. \u003c\/p\u003e\n\u003cp\u003eWritten by two highly qualified authors, \u003ci\u003eBasic Statistics for Life Scientists \u003c\/i\u003eincludes information on: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAppropriate statistical techniques for evaluating experimental data, avoiding excessive jargon or mathematics\u003c\/li\u003e\n\u003cli\u003eMisuse of statistical techniques in life sciences research\u003c\/li\u003e\n\u003cli\u003eSystematic problems present in life sciences research, such as multiple hypothesis testing and pseudoreplication\u003c\/li\u003e\n\u003cli\u003eExperimental design and the problems associated with the concept of binary statistical significance\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eBasic Statistics for Life Scientists\u003c\/i\u003e is an essential reference for students and researchers in life sciences and biomedicine, especially PhD students and postdoctoral researchers, seeking to confidently apply appropriate statistical tests to their data. The book is also valuable to advanced undergraduates and more senior researchers in related fields.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eList of Boxes ix\u003c\/p\u003e \u003cp\u003ePreface xi\u003c\/p\u003e \u003cp\u003eAbout the Companion Site xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 A Primer on Data Summarization and Visualization 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Numerical Summary of Data 1\u003c\/p\u003e \u003cp\u003e1.2 Data Visualization 5\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 The p-Value and Concept of Statistical Significance 13\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Beware of Misconceptions 17\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Statistical Tests: How to Get the p-Value 25\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 t-Tests 29\u003c\/p\u003e \u003cp\u003e3.1.1 Unpaired t-Test 29\u003c\/p\u003e \u003cp\u003e3.1.2 Welch’s Unpaired t-Test 37\u003c\/p\u003e \u003cp\u003e3.1.3 Paired t-Test 38\u003c\/p\u003e \u003cp\u003e3.1.4 Equivalence Testing 40\u003c\/p\u003e \u003cp\u003e3.2 Non-parametric Alternatives to t-Tests for Comparison of Two Groups 42\u003c\/p\u003e \u003cp\u003e3.2.1 Mann–Whitney U Test (Wilcoxon Rank-Sum) 42\u003c\/p\u003e \u003cp\u003e3.2.2 Brunner–Munzel Test 48\u003c\/p\u003e \u003cp\u003e3.2.3 Other Non-parametric Unpaired Tests 48\u003c\/p\u003e \u003cp\u003e3.2.4 Wilcoxon Signed-Rank Test 49\u003c\/p\u003e \u003cp\u003e3.2.5 Sign Test 49\u003c\/p\u003e \u003cp\u003e3.3 Tests for Frequency of Occurrence 50\u003c\/p\u003e \u003cp\u003e3.3.1 Fisher’s Exact Test and Some of Its Alternatives 50\u003c\/p\u003e \u003cp\u003e3.3.2 Chi-Square Test 52\u003c\/p\u003e \u003cp\u003e3.4 Correlation and Regression Analyses 52\u003c\/p\u003e \u003cp\u003e3.4.1 Correlation 52\u003c\/p\u003e \u003cp\u003e3.4.1.1 Pearson Correlation 54\u003c\/p\u003e \u003cp\u003e3.4.1.2 Spearman Correlation 56\u003c\/p\u003e \u003cp\u003e3.4.1.3 Kendall Correlation 56\u003c\/p\u003e \u003cp\u003e3.4.1.4 Final Comments on Correlation 58\u003c\/p\u003e \u003cp\u003e3.4.2 Linear Regression 60\u003c\/p\u003e \u003cp\u003e3.4.3 Non-linear Regression and Comparing Curve Data 67\u003c\/p\u003e \u003cp\u003e3.5 ANOVA Methods for Comparison of Multiple Groups 70\u003c\/p\u003e \u003cp\u003e3.5.1 One-Way ANOVA 70\u003c\/p\u003e \u003cp\u003e3.5.2 Repeated Measures ANOVA 75\u003c\/p\u003e \u003cp\u003e3.5.3 Two-Way ANOVA 76\u003c\/p\u003e \u003cp\u003e3.6 Permutation Tests 77\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Common Pitfalls Associated with the Use of p-Values and Statistical Significance 83\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Multiple Testing Problem (and How to Correct for It) 83\u003c\/p\u003e \u003cp\u003e4.1.1 Multiple Hypothesis Testing Corrections 85\u003c\/p\u003e \u003cp\u003e4.2 Underpowered Study Design (and Power Calculations) 88\u003c\/p\u003e \u003cp\u003e4.2.1 Power Calculations 89\u003c\/p\u003e \u003cp\u003e4.3 Pseudoreplication (and Hierarchical Statistics) 94\u003c\/p\u003e \u003cp\u003e4.4 N-Hacking (and Interim and Sequential Analysis) 99\u003c\/p\u003e \u003cp\u003e5 Problems of the Concept of Statistical Significance; Alternative Approaches 105\u003c\/p\u003e \u003cp\u003e6 Experimental Design 111\u003c\/p\u003e \u003cp\u003e6.1 Starting the Project 111\u003c\/p\u003e \u003cp\u003e6.1.1 Pre-registration 111\u003c\/p\u003e \u003cp\u003e6.2 Stopping the Project 112\u003c\/p\u003e \u003cp\u003e6.3 Control Experiments 113\u003c\/p\u003e \u003cp\u003e6.4 Discarding Data 113\u003c\/p\u003e \u003cp\u003e6.5 Blinding 114\u003c\/p\u003e \u003cp\u003e6.6 Randomization and Blocking 115\u003c\/p\u003e \u003cp\u003e6.7 Uncontrolled Factors 117\u003c\/p\u003e \u003cp\u003e6.8 Which Experimental Model Should Be Used? 118\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Concluding Remarks 121\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFurther Reading 123\u003c\/p\u003e \u003cp\u003eAppendix A A Brief Overview of Tools for Statistical Analysis 125\u003c\/p\u003e \u003cp\u003eAppendix B Additional Points on Tests for Contingency Tables 129\u003c\/p\u003e \u003cp\u003eB.1 Fisher’s Test Conservatism 129\u003c\/p\u003e \u003cp\u003eB.2 Additional Details on Useful Alternatives to Fisher’s Test 131\u003c\/p\u003e \u003cp\u003eAppendix C On the p-Value as a Measure of Evidence 133\u003c\/p\u003e \u003cp\u003eCode Samples 135\u003c\/p\u003e \u003cp\u003eSamples for Section 1.1 136\u003c\/p\u003e \u003cp\u003eSamples for Section 1.2 136\u003c\/p\u003e \u003cp\u003eSamples for Section 3.1 143\u003c\/p\u003e \u003cp\u003eSamples for Section 3.2 147\u003c\/p\u003e \u003cp\u003eSamples for Section 3.3 150\u003c\/p\u003e \u003cp\u003eSamples for Section 3.4 151\u003c\/p\u003e \u003cp\u003eSamples for Section 3.5 159\u003c\/p\u003e \u003cp\u003eSamples for Section 3.6 161\u003c\/p\u003e \u003cp\u003eSamples for Section 4.1 165\u003c\/p\u003e \u003cp\u003eSamples for Section 4.2 166\u003c\/p\u003e \u003cp\u003eSamples for Section 4.3 170\u003c\/p\u003e \u003cp\u003eBibliography 173\u003c\/p\u003e \u003cp\u003eIndex 181\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52458312859928,"sku":"9781394284962","price":50.88,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394284962.jpg?v=1785370791","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/basic-statistics-for-life-scientists-a-concise-handbook-of-essential-techniques-hardback-9781394284962","provider":"Freshly Printed Books","version":"1.0","type":"link"}