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Introductory Statistics is the longer of the two texts (Elementary Statistics is the shorter one) and is appropriate for a one- or two-semester course. IS includes more detailed (but still flexible) coverage of probability and later coverage of Correlation and Regression. It also covers more advanced topics covered in the second semester course. IS has a reputation for being thorough and precise, and for using real data extensively. Students find the book readable and clear, and the math level is right for the diverse population that takes the introductory statistics course. The text thoroughly explains and illustrates concepts through an abundance of worked out examples.
This text investigates the fundamental principles of statistical analysis and probability to provide a comprehensive foundation for students in one- or two-semester introductory courses. Author Neil A. Weiss utilizes his extensive experience in mathematics education to structure a curriculum that balances theoretical rigor with practical application. The book employs a pedagogical framework centered on clear explanations and the use of real-world data sets to illustrate complex statistical concepts.
What You Will Find
Experts and educators frequently cite this text for its thoroughness and precision in explaining statistical methodology. Students often note the readability of the prose, which makes complex mathematical concepts accessible to a diverse academic audience.
Page Count:
960
Publication Date:
2004-05-15
Publisher:
Addison Wesley
ISBN-10:
0201771314
ISBN-13:
9780201771312