Introductory Statistics, Mylab Revision, Loose-Leaf Edition

Weiss, Neil A.

  • 出版商: Pearson FT Press
  • 出版日期: 2019-02-01
  • 售價: $4,900
  • 貴賓價: 9.5$4,655
  • 語言: 英文
  • 頁數: 848
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0135189209
  • ISBN-13: 9780135189207
  • 相關分類: 機率統計學 Probability-and-statistics
  • 下單後立即進貨 (約2~4週)


NOTE: This loose-leaf, three-hole punched version of the textbook gives you the flexibility to take only what you need to class and add your own notes - all at an affordable price. For loose-leaf editions that include MyLab(TM) or Mastering(TM), several versions may exist for each title and registrations are not transferable. You may need a Course ID, provided by your instructor, to register for and use MyLab or Mastering products.

For one- or two-semester courses in Introductory Statistics.

Statistically significant

Introductory Statistics MyLab Revision, 10th Edition is ideal for introductory statistics classes that emphasize statistical reasoning and critical thinking. Weiss's meticulous and comprehensive coverage includes careful, detailed explanations to ease the learning process. With more than 1,000 data sets and over 3,000 exercises, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical understanding.

Weiss offers a parallel presentation of critical-value and P-value approaches to hypothesis testing. This unique design allows the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two.

Also available with MyLab Statistics

By combining trusted author content with digital tools and a flexible platform, MyLab Statistics personalizes the learning experience and improves results for each student. With MyLab Statistics and StatCrunch(R), an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world.

Note: You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.

If you would like to purchase both the physical text and MyLab Statistics, search for:

0135268648 / 9780135268643 Introductory Statistics MyLab Revision, Loose-Leaf Edition Plus MyLab Statistics with Pearson eText - Access Card Package

Package consists of:

  • 0135189209 / 9780135189207 Introductory Statistics, MyLab Revision, Loose-Leaf Edition
  • 0135190177 / 9780135190173 MyLab Statistics with Pearson eText - Standalone Access Card - for Introductory Statistics, MyLab Revision


The late Neil A. Weiss received his Ph.D. from UCLA and subsequently accepted an assistant professor position at Arizona State University (ASU), where he was ultimately promoted to the rank of full professor. Dr. Weiss taught statistics, probability, and mathematics -- from the freshman level to the advanced graduate level -- for more than 30 years.

In recognition of his excellence in teaching, Dr. Weiss received the Dean's Quality Teaching Award from the ASU College of Liberal Arts and Sciences. He also was runner-up twice for the Charles Wexler Teaching Award in the ASU School of Mathematical and Statistical Sciences. Dr. Weiss's comprehensive knowledge and experience ensure that his texts are mathematically and statistically accurate, as well as pedagogically sound.

In addition to his numerous research publications, Dr. Weiss was the author of A Course in Probability (Addison-Wesley, 2006). He also authored or coauthored books in finite mathematics, statistics, and real analysis. His texts, well known for their precision, readability, and pedagogical excellence, are used worldwide.

Dr. Weiss was a pioneer of the integration of statistical software into textbooks and the classroom, first providing such integration in the book Introductory Statistics (AddisonWesley,1982). Since this first publication, Neil Weiss's work continues to inspire future statisticians and current students of statistics alike.