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Titlebook: Excel 2013 for Social Sciences Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2015 The Editor(s) (if applicable) and The Author(

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31#
發(fā)表于 2025-3-26 23:29:55 | 只看該作者
Multiple Correlation and Multiple Regression,eeded to write 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 corr
32#
發(fā)表于 2025-3-27 02:50:09 | 只看該作者
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 social scien
33#
發(fā)表于 2025-3-27 07:52:48 | 只看該作者
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發(fā)表于 2025-3-27 12:28:02 | 只看該作者
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發(fā)表于 2025-3-27 14:21:48 | 只看該作者
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發(fā)表于 2025-3-27 19:48:27 | 只看該作者
37#
發(fā)表于 2025-3-27 22:50:22 | 只看該作者
Solution of Elliptic Equations,along 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 predic
38#
發(fā)表于 2025-3-28 03:36:53 | 只看該作者
39#
發(fā)表于 2025-3-28 07:41:22 | 只看該作者
https://doi.org/10.1007/978-3-658-42204-2 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 social scien
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發(fā)表于 2025-3-28 11:05:47 | 只看該作者
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