Introductory Statistics, MyLab Revision
Weiss, Neil
Sold by BooksRun, Philadelphia, PA, U.S.A.
AbeBooks Seller since 2 February 2016
Used
Condition: Used - Good
Quantity: 2 available
Add to basketSold by BooksRun, Philadelphia, PA, U.S.A.
AbeBooks Seller since 2 February 2016
Condition: Used - Good
Quantity: 2 available
Add to basketIt's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Seller Inventory # 0135189209-11-1
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.
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