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Titlebook: Excel 2016 for Biological and Life Sciences Statistics; A Guide to Solving P Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton Textbook 2016

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發(fā)表于 2025-3-21 16:47:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Excel 2016 for Biological and Life Sciences Statistics
副標(biāo)題A Guide to Solving P
編輯Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton
視頻videohttp://file.papertrans.cn/319/318269/318269.mp4
概述appear in Appendix A.A “Practice Test” is given in Appendix B to test your knowledge at the end of the book. Answers appear in Appendix C.This book purposely does not include a CD of Excel files. Inst
叢書名稱Excel for Statistics
圖書封面Titlebook: Excel 2016 for Biological and Life Sciences Statistics; A Guide to Solving P Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton Textbook 2016
描述.This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you...Excel is an effective learning tool for quantitative analyses in biological and life sciences courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, .Excel 2016 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems. is the first book to capitalize on these improvements by teaching students and managers how to apply Excel 2016 to statistical techniques necessary in their courses and work...Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand biological and lifescience problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they
出版日期Textbook 20161st edition
關(guān)鍵詞Applied Biological Statistics; Applied Life Sciences Statistics; Applied Statistics; Biological Statist
版次1
doihttps://doi.org/10.1007/978-3-319-39489-3
isbn_ebook978-3-319-39489-3Series ISSN 2570-4605 Series E-ISSN 2570-4613
issn_series 2570-4605
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Random Number Generator, of people (objects, plants, or animals) from which you want to take a random sample. You will learn how to use Excel to create frame numbers for generating random numbers, why a set of duplicate frame numbers is important, and the Excel commands needed to sort the frame numbers into a random sequen
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One-Group t-Test for the Mean,is test compares the mean of your data set against the hypothesized population mean for your data to determine if the difference between these two values is “l(fā)arge enough” to be considered a “significant difference.” The formula is presented, explained, and a practical example is given using your ca
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Two-Group t-Test of the Difference of the Means for Independent Groups, your research study and one measurement “number” on each of these. This chapter asks you to change gears and deal with the situation in which you are measuring two groups of instead of only one group. The nine steps for hypothesis-testing using the two-group t-test are presented, including the deci
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Correlation and Simple Linear Regression,or animals) in your research study and only one measurement (i.e., variable) “number” on each of these. This chapter asks you to change gears again and to deal with the situation in which you are measuring two variables instead of only one variable, and you are trying to discover the “relationship”
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