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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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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.
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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.
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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.
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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.
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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.
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