Miller Zoology C 2013 9e Student Edition Reinforced Binding


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Miller, Zoology © 2016, 10e (Reinforced Binding) Student Edition


Miller, Zoology © 2016, 10e (Reinforced Binding) Student Edition

Author: John P Harley

language: en

Publisher: McGraw-Hill Education

Release Date: 2015-09-18


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Assessment and Feedback in Higher Education: A Guide for Teachers


Assessment and Feedback in Higher Education: A Guide for Teachers

Author: Teresa McConlogue

language: en

Publisher: UCL Press

Release Date: 2020-05-01


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Teachers spend much of their time on assessment, yet many higher education teachers have received minimal guidance on assessment design and marking. This means assessment can often be a source of stress and frustration. Assessment and Feedback in Higher Education aims to solve these problems. Offering a concise overview of assessment theory and practice, this guide provides teachers with the help they need.

Biostatistics


Biostatistics

Author: Wayne W. Daniel

language: en

Publisher: John Wiley & Sons

Release Date: 2018-11-13


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The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.