Titlebook: Excel 2016 for Advertising Statistics; A Guide to Solving P Thomas J. Quirk,Eric Rhiney Textbook 20171st edition Springer International Pub

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书目名称Excel 2016 for Advertising Statistics影响因子(影响力)




书目名称Excel 2016 for Advertising Statistics影响因子(影响力)学科排名




书目名称Excel 2016 for Advertising Statistics网络公开度




书目名称Excel 2016 for Advertising Statistics网络公开度学科排名




书目名称Excel 2016 for Advertising Statistics被引频次




书目名称Excel 2016 for Advertising Statistics被引频次学科排名




书目名称Excel 2016 for Advertising Statistics年度引用




书目名称Excel 2016 for Advertising Statistics年度引用学科排名




书目名称Excel 2016 for Advertising Statistics读者反馈




书目名称Excel 2016 for Advertising Statistics读者反馈学科排名

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One-Group t-Test for the Mean, the 95% confidence interval about the mean (Chap. 3) 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 presented in the

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Two-Group t-Test of the Difference of the Means for Independent Groups,tical 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 . of this book. An additional practice problem is presented in the Practice Test given in Appendix . along with its answer in Appendix . of this

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Multiple Correlation and Multiple Regression,o write the multiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all of the variables are explained so that you can create a “correlation matrix” for your data set. You will learn how to read this correlation matrix to determine the correlatio

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One-Way Analysis of Variance (ANOVA),s 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 business example is use

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2570-4605 nus (e.g., simple linear regression, multiple correlation and multiple regression, and one-way ANOVA).  Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix978-3-319-72104-0Series ISSN 2570-4605 Series E-ISSN 2570-4613

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https://doi.org/10.1007/978-1-84628-531-8ecific 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