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Titlebook: Workshop Statistics:; Discovery With Data Allan J. Rossman,Beth L. Chance Textbook 1998 Springer-Verlag New York 1998 correlation.Minitab.

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樓主: Cyclone
11#
發(fā)表于 2025-3-23 12:16:23 | 只看該作者
12#
發(fā)表于 2025-3-23 14:38:58 | 只看該作者
13#
發(fā)表于 2025-3-23 19:04:05 | 只看該作者
14#
發(fā)表于 2025-3-24 01:40:11 | 只看該作者
Measures of SpreadIn the previous topic you explored important numerical measures of the center of a distribution. In this topic you will investigate similar numerical measures of a distribution’s variability. These measures will also lead you to dis?cover another visual display (the .) and a very important technique (.) which will appear throughout the text.
15#
發(fā)表于 2025-3-24 04:31:08 | 只看該作者
Least Squares Regression IIn previous topics you studied scatterplots as visual displays of the relationship between two variables and the correlation coefficient as a numerical measure of the linear association between them. With this topic you will begin to investigate . as a formal mathematical model often used to describe the relationship between variables.
16#
發(fā)表于 2025-3-24 10:17:53 | 只看該作者
Least Squares Regression IIThis topic extends your study of least squares regression. You will examine the impact that a single observation can have on a regression analysis, learn how to use . to indicate when the linear relationship is not appropriate, and discover . of variables as a way to use regression even when the relationship between the variables is not linear.
17#
發(fā)表于 2025-3-24 14:14:03 | 只看該作者
18#
發(fā)表于 2025-3-24 18:00:59 | 只看該作者
Data and Variables II (bar graphs) for categorical variables. In this topic you will encounter a graphical display used for measurement variables. You will also continue to learn how to analyze the . of a set of data measuring a particular variable.
19#
發(fā)表于 2025-3-24 19:53:03 | 只看該作者
Measures of Center desirable to have a single numerical measure to summarize a certain aspect of a distribution. In this topic you will encounter some of the more common measures of the . of a distribution, investigate their properties, apply them to some genuine data, and expose some of their limitations.
20#
發(fā)表于 2025-3-25 03:12:44 | 只看該作者
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