Statistics Using R with Biological Examples

Statistics Using R. with Biological Examples Kim Seefeld, MS, *. Ernst Linder, University of New Hampshire, Durham, NH. Department of Mathematics & Statistics *Also affiliated with the Dept. of Nephrology and the Biostatistics Research Center, Tufts-NEMC, Boston,MA. Copyright May 2007, K Seefeld 1. Permission granted to reproduce for nonprofit, educational use. Preface This book is a manifestation of my desire to teach researchers in biology a bit more about Statistics than an ordinary introductory course covers and to introduce the utilization of R as a tool for analyzing their data. My goal is to reach those with little or no training in higher level Statistics so that they can do more of their own data analysis, communicate more with statisticians, and appreciate the great potential Statistics has to offer as a tool to answer Biological questions.

using applied genetics examples. Inferential Statistics (Ch 13-15) The topics in these chapters are the topics covered in traditional introductory statistics courses and should be familiar to most biological researchers. Therefore the theory presented for these topics is relatively brief. Chapter 13

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