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Titlebook: Basic Business Statistics; A Casebook Dean P. Foster,Robert A. Stine,Richard P. Waterman Textbook 1998 Springer-Verlag New York, Inc. 1998

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11#
發(fā)表于 2025-3-23 12:45:52 | 只看該作者
12#
發(fā)表于 2025-3-23 14:00:50 | 只看該作者
Herzbeschwerden und HerzinsuffizienzTests based on paired comparisons discussed in Class 8 are often able to detect differences that would require much larger samples without the pairing. Why does this pairing work?
13#
發(fā)表于 2025-3-23 20:54:11 | 只看該作者
https://doi.org/10.1007/978-3-662-48795-2This fmal class reviews ideas covered in the first 10 lectures, and introduces the methods that will be covered in courses that deal with regression analysis. In particular, we consider how to fit regression lines that model the dependence between two variables. An underlying theme is the importance of the assumption of independence.
14#
發(fā)表于 2025-3-24 01:32:56 | 只看該作者
15#
發(fā)表于 2025-3-24 03:45:44 | 只看該作者
16#
發(fā)表于 2025-3-24 09:26:52 | 只看該作者
17#
發(fā)表于 2025-3-24 12:14:02 | 只看該作者
Making Decisions,In quality problems, we need to be assured that the process is functioning as designed. Therefore, ideas related to the confidence interval for the process mean are fundamental. In making a decision between two competing alternatives, we find that new issues arise.
18#
發(fā)表于 2025-3-24 17:12:33 | 只看該作者
Designing Tests for Better Comparisons,The two-sample tests of Class 7 are not always the best choice. Often, specially designed experiments can be more informative at a lower cost (i.e., smaller sample size). As one might expect, using these more sophisticated procedures introduces trade-offs, but the costs are typically small relative to the gain in information.
19#
發(fā)表于 2025-3-24 19:49:37 | 只看該作者
20#
發(fā)表于 2025-3-24 23:46:07 | 只看該作者
A Preview of Regression,This fmal class reviews ideas covered in the first 10 lectures, and introduces the methods that will be covered in courses that deal with regression analysis. In particular, we consider how to fit regression lines that model the dependence between two variables. An underlying theme is the importance of the assumption of independence.
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