The Analysis of Biological Data

Greenwood Village, Colorado: Roberts and Company Publishers, 2015. Second edition. Quarto in color illus in black and white paper-backed boards; xxxiii, 818 pages: illustrations (some color); 25 cm; bibliographical references (pages 725-746) and index. Fine. As new. No jacket, as issued. . Hardcover. ISBN: 9781936221486

"Knowledge of statistics is essential in modern biology and medicine. Biologists and health professionals learn statistics best with real and interesting examples. The Analysis of Biological Data, Second Edition, by Whitlock and Schluter, teaches modern methods of statistics through the use of fascinating biological and medical cases. Readers consistently praise its clear and engaging writing and practical perspective. The second edition features over 200 new examples and problems. These include new calculation practice problems, which guide the student step by step through the methods, and a greater number of the examples and topics come from medical and human health research. Every chapter has been carefully edited for even greater clarity and ease of use"--Publisher. / Contents: Introduction to Statistics. Statistics and samples -- Biology and history of statistics -- Displaying data -- Describing data -- Estimating with uncertainty -- Pseudoreplication -- Probability -- Hypothesis testing -- Why statistical significance is not the same as biological importance -- Proportionas and Frequencies. Analyzing proportions -- Correlation does not require causation -- Fitting probability models to frequency data -- Making a plan -- Contingency analysis: associations between categorical variables -- Comparing Numerical Values. The normal distribution -- Controls in medical studies -- Inference for a normal population -- Comparing two means -- Which test should I use? -- Handling violations of assumptions -- Designing experiments -- Data dredging -- Comparing means of more than two groups -- Experimental and statistical mistakes -- Regression and Correlation. Correlation between numerical variables -- Publication bias -- Regression -- Using species as data points -- Modern Statistical Methods. Multiple explanatory variables -- Computer-intensive methods -- Likelihood -- Meta-analysis: combining information from multiple studies. / Biometry -- Textbooks.  Biometry -- methods  statistical methods.  data analysis.  biology.  Biometry.  Biostatistik  / **A heavy book. weighing 3 lbs 6 unces before packing. Extra shipping charges may apply for international & expedited orders. Please inquire.**