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Content Provider | OpenStax |
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Author | Illowsky, Barbara Dean, Susan Birmajer, Daniel Blount, Bryan Boyd, Sheri Einsohn, Matthew Helmreich, James Kenyon, Lynette Lee, Sheldon Taub, Jeff |
Description | Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs. |
Abstract | Introductory Statistics is intended for the one-semester introduction to statistics course for students who are not mathematics or engineering majors. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section practice and homework sets, examples of each topic are explained step-by-step throughout the text and followed by a Try It problem that is designed as extra practice for students. This book also includes collaborative exercises and statistics labs designed to give students the opportunity to work together and explore key concepts. To support today’s student in understanding technology, this book features TI 83, 83+, 84, or 84+ calculator instructions at strategic points throughout. While the book has been built so that each chapter builds on the previous, it can be rearranged to accommodate any instructor’s particular needs. |
ISBN | 9781938168208 |
e-ISBN | 9781947172050 |
Language | English |
Publisher Date | 2013-09-19 |
Access Restriction | Open |
Rights License | Creative Commons Attribution License |
Use Rights URL | https://creativecommons.org/licenses/by/4.0/ |
Subject Keyword | Math Statistics |
Content Type | Text |
Education Level | Under Graduate Post Graduate |
Subject | Probabilities & applied mathematics |
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