Stats: Data and Models fifth edition - Loose Leaf Edition For A Binder-image
Stats: Data and Models fifth edition - Loose Leaf Edition For A Binder-image
Stats: Data and Models fifth edition - Loose Leaf Edition For A Binder-image
Stats: Data and Models fifth edition - Loose Leaf Edition For A Binder-image
Stats: Data and Models fifth edition - Loose Leaf Edition For A Binder-image

Stats: Data and Models fifth edition - Loose Leaf Edition For A Binder

$ 18.47

Type: Textbook Features: Loose-Leaf Publication Year: 2019 Item Weight: 72 Oz Author: David Bock, Paul Velleman, Richard De Veaux Format: Ringbound Publication Name: Stats : Data and Models, Books a La Carte Edition Publisher: Pearson Education Subject Area: Mathematics Subject: Probability & Statistics / General ISBN: 9780135163832 width: 8.5 in Release Year: 2019 height: 1.4 in Item Width: 8.5 in Number of Pages: 1032 Pages Item Length: 10.8 in Language: English Item Height: 1.4 in

Description

Stats: Data and Models fifth edition - Loose Leaf Edition For A Binder. The "Stats: Data and Models fifth edition - Loose Leaf Edition" is a comprehensive textbook published by Pearson Education in 2019. Authored by David Bock, Paul Velleman, Richard De Veaux, and Floyd Bullard, this book covers the subject areas of Probability & Statistics and Mathematics in a general sense. New but the cellophane wrapper is ripped up and the cover is scuffed up. Never used. Ready to go into a 3 ring binder. Priced low due to the scuffed cover. See pics for details. The "Stats: Data and Models fifth edition - Loose Leaf Edition" is a comprehensive textbook published by Pearson Education in 2019. Authored by David Bock, Paul Velleman, Richard De Veaux, and Floyd Bullard, this book covers the subject areas of Probability & Statistics and Mathematics in a general sense. With 1024 pages, this hardcover textbook is designed for optimal learning and reference, featuring a loose-leaf format that allows for easy access to specific content. This updated edition is a valuable resource for students and professionals alike in the field of data analysis and statistical modeling.

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