Includes bibliographical references (pages 365-367) and index.
CONTENTS NOTE
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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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SUMMARY OR ABSTRACT
Text of Note
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.