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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
21#
發(fā)表于 2025-3-25 04:04:47 | 只看該作者
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing,confidence interval. You will learn how to estimate the population mean (average) for a group of events or objects at a 95% confidence level so that you are 95% confident that the population mean is between a lower limit of the data and an upper limit of the data. The formula for computing this conf
22#
發(fā)表于 2025-3-25 09:18:37 | 只看該作者
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發(fā)表于 2025-3-25 12:40:08 | 只看該作者
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發(fā)表于 2025-3-25 18:00:47 | 只看該作者
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發(fā)表于 2025-3-25 23:52:56 | 只看該作者
26#
發(fā)表于 2025-3-26 01:39:31 | 只看該作者
One-Way Analysis of Variance (ANOVA),ation mean for the data using either the 95% confidence interval about the mean (Chapter 3 of this book) or the one-group t-test of the mean (Chapter 4 of this book). You have also learned how to test for the difference between the means for two groups of to determine if this difference was a “signi
27#
發(fā)表于 2025-3-26 05:21:30 | 只看該作者
28#
發(fā)表于 2025-3-26 11:59:59 | 只看該作者
29#
發(fā)表于 2025-3-26 13:41:07 | 只看該作者
https://doi.org/10.1007/978-3-322-95796-2, 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
30#
發(fā)表于 2025-3-26 17:45:03 | 只看該作者
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