Vertical
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Statistical Analysis and Data Display978-1-4757-4284-8Series ISSN 1431-875X Series E-ISSN 2197-4136
coagulate
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Data and Statistics,nformation (usually in the form of tables, graphs, and written and verbal summaries) that can inform sound policy decisions. We give examples of applications of statistics to many fields in Chapter 1. Here we focus on the general concepts describing the collection and arrangement of the numbers themselves.
dilute
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FUSC
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转折点
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,Multiple Regression—Regression Diagnostics,ys to investigate whether the model assumptions are met and, when the assumptions are not met, ways to revise the model to better conform with the assumptions. We also examine ways to assess the effect on model performance of individual predictors or individual cases (observations).
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Two-Way Analysis of Variance,compare the changes in the mean of the response variable attributable to the various levels of this factor. Here we extend this to situations where there are two factors. In Chapters 13 and 14 we will discuss instances where there are more than two factors.
sterilization
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Nonparametrics,ten the Normal distribution. When such assumptions are unjustified, the consequences of the procedure are dubious at best. In situations where distributional assumptions cannot be justified, even after a well-chosen data transformation, the analyst should consider another approach.
浮夸
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Springer Texts in Statisticshttp://image.papertrans.cn/s/image/876319.jpg
膝盖
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https://doi.org/10.1007/978-1-4757-4284-8ANOVA; Binomial distribution; Excel; Logistic Regression; Probability distribution; Regression analysis; S
BRACE
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