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Titlebook: Excel 2013 for Physical Sciences Statistics; A Guide to Solving P Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton Textbook 2016 The Editor

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發(fā)表于 2025-3-26 23:05:05 | 只看該作者
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發(fā)表于 2025-3-27 04:14:29 | 只看該作者
,überblick über die infinite Systemtheorie,is test compares the mean of your data set against the hypothesized population mean for your data to determine if the difference between these two values is “l(fā)arge enough” to be considered a “significant difference.” The formula is presented, explained, and a practical example is given using your ca
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發(fā)表于 2025-3-27 08:24:45 | 只看該作者
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發(fā)表于 2025-3-27 09:35:14 | 只看該作者
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發(fā)表于 2025-3-27 14:11:59 | 只看該作者
https://doi.org/10.1007/BFb0070676l by using . to predict Y instead of a single predictor as we discussed in Chap. . of this book. The resulting statistical procedure is called “multiple correlation” because it uses two or more predictors, each weighted differently in an equation, to predict Y. The job of multiple correlation is to
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發(fā)表于 2025-3-27 18:55:12 | 只看該作者
Lucian Ilie,Ion Petre,Grzegorz Rozenbergation mean for the data using either the 95?% confidence interval about the mean (Chap. . of this book) or the one-group t-test of the mean (Chap. . of this book). You have also learned how to test for the difference between the means for two groups to determine if this difference was a “significant
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發(fā)表于 2025-3-28 00:00:10 | 只看該作者
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