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Titlebook: Excel 2010 for Engineering Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2014 Springer International Publishing Switzerland 201

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樓主: LEVEE
31#
發(fā)表于 2025-3-26 21:20:30 | 只看該作者
Demokratisierung des Anlageprozesses,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 A of this book. An additional practice problem is presented in the Practice Test given in Appendix B along with its answer in Appendix C of this
32#
發(fā)表于 2025-3-27 02:46:38 | 只看該作者
33#
發(fā)表于 2025-3-27 06:22:28 | 只看該作者
https://doi.org/10.1007/978-3-663-13406-0e the multiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all of the variables is 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 correlation betwe
34#
發(fā)表于 2025-3-27 12:51:40 | 只看該作者
Finanzplanung und Finanzkontrolle 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 engineering examp
35#
發(fā)表于 2025-3-27 17:41:37 | 只看該作者
36#
發(fā)表于 2025-3-27 19:40:57 | 只看該作者
37#
發(fā)表于 2025-3-27 22:53:29 | 只看該作者
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing,, 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 Excel skills, and the answ
38#
發(fā)表于 2025-3-28 05:46:37 | 只看該作者
39#
發(fā)表于 2025-3-28 07:29:26 | 只看該作者
40#
發(fā)表于 2025-3-28 12:13:03 | 只看該作者
Correlation and Simple Linear Regression,th 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 va
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