Statistics: Learning from Data
By Roxy Peck, Catherine Case
About your course materials
Guide students to success in statistics with the innovative approach in Peck/Case's STATISTICS: LEARNING FROM DATA, 3rd Edition. This edition addresses common obstacles to learning, as the authors translate research on student learning in statistics and probability into practice. The authors use proven methods to address areas where students struggle most -- probability, hypothesis testing and selecting an appropriate method of analysis. Students strengthen their conceptual understanding and procedural fluency as they put knowledge into practice with updated learning objectives, real-data examples, exercises and technology notes. WebAssign digital resources and Cengage's Statistical Analysis and Learning Tool (SALT) are also available to help transform introductory-level students into statistical thinkers.
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About this product
Guide students to success in statistics with the innovative approach in Peck/Case's STATISTICS: LEARNING FROM DATA, 3rd Edition. This edition addresses common obstacles to learning, as the authors translate research on student learning in statistics and probability into practice. The authors use proven methods to address areas where students struggle most -- probability, hypothesis testing and selecting an appropriate method of analysis. Students strengthen their conceptual understanding and procedural fluency as they put knowledge into practice with updated learning objectives, real-data examples, exercises and technology notes. WebAssign digital resources and Cengage's Statistical Analysis and Learning Tool (SALT) are also available to help transform introductory-level students into statistical thinkers.
ORGANIZATION REFLECTS THE DATA ANALYSIS PROCESS. Students first learn how data analysis is a process that begins with careful planning. They then learn about data collection, data description using graphical and numerical summaries, data analysis and interpretation of results.
STUDENTS WORK WITH REAL, ENGAGING DATA. The exercises and examples involve real data from a wide range of areas. Chapter activities offer mini-projects in which students explore important ideas and concepts in more depth through authentic applications of the statistical process.
PROVIDES AN ACCESSIBLE APPROACH TO PROBABILITY. The approach uses natural frequencies to reason about probability which research shows is much easier for students to understand – especially with conditional probability. An optional section introduces probability rules for those who also want more traditional coverage.
BRIEF CHAPTER (CH. 7) PROVIDES AN OVERVIEW OF STATISTICAL INFERENCE. This short chapter focuses on what students need to consider when selecting an appropriate method of analysis.
Table of contents
Chapters
Section I. Collecting Data
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