Textbook in PDF format

The text is designed for use in an introductory statistics course. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyze data, and interpret conclusions drawn from data. The text is driven by real data and real applications. Although the only prerequisite is a minimal working knowledge of algebra, students completing the course should be able to accurately interpret statistical results and to analyze straightforward datasets. The text is designed to give students a sense of the power of data analysis; our hope is that many students learning from this book will want to continue developing their statistical knowledge.
Students who learn from this text should finish with
A solid conceptual understanding of the key concepts of statistical inference: estimation with intervals and testing for significance.
The ability to do straightforward data analysis, including summarizing data, visualizing data, and inference using either traditional methods or modern resampling methods. 
Experience using technology to perform a variety of different statistical procedures.
An understanding of the importance of data collection, the ability to recognize limitations in data collection methods, and an awareness of the role that data collection plays in determining the scope of inference.
The knowledge of which statistical methods to use in which situations and the ability to interpret the results effectively and in context.
An awareness of the power of data