Titlebook: Introduction to Statistics; The Nonparametric Wa Gottfried E. Noether Textbook 1991 Springer Science+Business Media New York 1991 Boxplot.

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Textbook 1991author‘s Introduction to Statistics: A Nonparametric Approach (Houghton Mifflin Company, Boston, 1976), tries to meet these objectives by introducing the student to the ba­ sic ideas of estimation and hypothesis testing early in the course after a rather brief introduction to data organization and s

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Probability,ss some aspects of probability that will be useful in our study of statistical inference. However, except in Chapters 19 and 20, we shall not concern ourselves with mathematical details. The probabilities that a statistician uses in everyday applications are mostly found in tables. In addition to ta

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Estimation: The Two-Sample Shift Model,ions are shifted by an unknown amount.relative to X-observations as in Figure 9.1.The two-sample shift model represents a generalization of the classical two-sample model underlying the two-sample t-test, where.and Y-observations are assumed to be normally distributed with the same standard deviatio

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Least Squares Regression and Correlation, diagram representing.sample points (X.Y.),…,(X.Y.). Following our usual approach, we defined sets of elementary estimates for the regression parameters a and β. These elementary estimates not only allowed us to find estimates for a and β, but also to determine a test for the independence of the var

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