Includes bibliographical references (pages 365-367) and index.
Getting started : introduction to JMP -- Understanding data -- Describing a single variable -- Describing two variables at a time -- Elementary probability and discrete distributions -- The normal mode -- Sampling and sampling distributions -- Inference for a single categorical variable -- Inference for a single continous variable -- Two-sample inference for a continuous variable -- Chi-square tests -- Analysis of variance -- Simple linear regression -- Regression conditions and estimation -- Multiple regression -- Categorical and non-linear regression models -- Basic forecasting techniques -- Elements of experiemental design -- Quality improvement.
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Uses the powerful interactive and visual approach of JMP to introduce readers to the logic and methods of statistical thinking and data analysis. It includes a myriad of examples and problems that rely on real sets of data, often starting with an important or interesting research question that an investigator has pursued.