Titlebook: Excel 2013 for Environmental Sciences Statistics; A Guide to Solving P Thomas J. Quirk,Meghan Quirk,Howard F. Horton Textbook 2015 Springer

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2570-4605 r courses and work...Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems.? Practice problems are provided978-3-319-23975-0978-3-319-23977-4Series ISSN 2570-4605 Series E-ISSN 2570-4613

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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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是剝皮

One-Group t-Test for the Mean,ce between the 95?% confidence interval about the mean (Chap. .) and the one-group t-test is explained. 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 practice problem is presen

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Two-Group t-Test of the Difference of the Means for Independent Groups,mulas using a practical example. 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 practice problem is presented in the Practice Test given in Appendix B along with its answer in A

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Correlation and Simple Linear Regression,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 equation to predict one

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Sinus-Rhythm

One-Way Analysis of Variance (ANOVA), more groups 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 environmenta

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