Material Detail

OpenIntro Statistics 3rd Edition strives to be a complete introductory textbook of the highest caliber. Its core derives from the classic notions of statistics education and is extended by recent innovations. The textbook meets high-quality standards and has been used at Princeton, Vanderbilt, UMass Amherst, and many other schools. We look forward to expanding the reach of the project and working with teachers from all colleges and schools. The chapters of this book are as follows:

• Introduction to data.
• Probability (special topic)..
• Distributions of random variables. 
• Foundations for inference. 
• Inference for numerical data.
• Inference for categorical data.
• Introduction to linear regression. 
• Multiple and logistic regression.

OpenIntro Statistics was written to allow flexibility in choosing and ordering course topics. The material is divided into two pieces: the main text and special topics. The main text has been structured to bring statistical inference and modeling closer to the front of a course. Special topics, labeled in the table of contents and in section titles, may be added to a course as they arise naturally in the curriculum.

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