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Titlebook: Excel 2013 for Biological and Life Sciences Statistics; A Guide to Solving P Thomas J Quirk,Meghan Quirk,Howard F Horton Textbook 2015 Spri

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發(fā)表于 2025-3-21 19:43:01 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Excel 2013 for Biological and Life Sciences Statistics
副標題A Guide to Solving P
編輯Thomas J Quirk,Meghan Quirk,Howard F Horton
視頻videohttp://file.papertrans.cn/319/318259/318259.mp4
概述Suitable for undergraduates or graduate students.Includes 164 color screen shots so you can be sure you are performing Excel steps correctly.Statistical theory and formulas are explained in clear lang
叢書名稱Excel for Statistics
圖書封面Titlebook: Excel 2013 for Biological and Life Sciences Statistics; A Guide to Solving P Thomas J Quirk,Meghan Quirk,Howard F Horton Textbook 2015 Spri
描述.This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively.? It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical 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, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in science courses.? Its powerful computational ability and graphical functions make learning statistics much easier than in years past.? However, .Excel 2013 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 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 science problems.? Practice problems are provided at the end of each chapter wi
出版日期Textbook 2015
關(guān)鍵詞Applied biological statistics; Applied life sciences statistics; Biological statistics; Biological stat
版次1
doihttps://doi.org/10.1007/978-3-319-12517-6
isbn_softcover978-3-319-12516-9
isbn_ebook978-3-319-12517-6Series ISSN 2570-4605 Series E-ISSN 2570-4613
issn_series 2570-4605
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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發(fā)表于 2025-3-21 21:58:42 | 只看該作者
Textbook 2015and managers how to apply Excel 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 science problems.? Practice problems are provided at the end of each chapter wi
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Sample Size, Mean, Standard Deviation, and Standard Error of the Mean,ecific number of decimal places, how to save an Excel worksheet into your computer, and how to print out an Excel worksheet. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional pract
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Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing,are presented for this test, and you will be given specific explanations of how to write both the result and the conclusion of a hypothesis test. Alternative ways to summarize the result of a hypothesis test are also presented. Three practice problems are given at the end of the chapter to test your
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Correlation and Simple Linear Regression,are presented along with the Excel steps needed to create a chart summarizing the relationship between the two variables. You will learn how to use Excel to draw the “best-fit line” through the data points on a scatterplot and how to determine the equation for this line so that you can use this equa
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One-Way Analysis of Variance (ANOVA),oups to see if they are “significantly different from each other.” If this overall ANOVA test is produces a significant result, you will learn how to test the hypotheses comparing any two groups using an ANOVA t-test formula. This formula is presented, explained, and a practical science example is u
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Excel 2013 for Biological and Life Sciences StatisticsA Guide to Solving P
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