Let's Review Math B (Barron's Review Course Series) - Paperback - GOOD Product Id:0764116568 Condition:USED_GOOD Notes:Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc...
Bridges in Mathematics Grade 5 2nd Edition Student Book 2nd Edition Student Book
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Thinking Mathematically, 2nd Edition, paperback, By J. Mason, 248 pages, NEW
"Statistics: Concepts and Controversies" by William I. Notz and David S. Moore is a comprehensive textbook on probability and statistics, focusing on the general subject area. Published by Freeman & Company, W&H in 2012, this book is designed for students and professionals looking to deepen their understanding of statistical concepts. With 656 pages and a mixed lot format, this loose-leaf textbook offers insights into the world of statistics in an accessible and informative manner. The access card included provides additional resources for learners to enhance their study experience.
This text presents a unified view of calculus in which theory and practice reinforce each other. BOOK CONDITION-NEW. Product details.
CURRENT 2025/26 COHORT PRESENTATION - NEW EDITION . M208 Pure Mathematics - 6 Study Books + Handbook. COMPLETE M208 MODULE Books M208-Book E Group Theory 2. M208-Book D Analysis 1.
M208 Open University - Level 2 Pure Mathematics Module. COMPLETE M208 MODULE Books PLUS GREAT PERSONAL REVISION MATERIALS. M208-Book E Group Theory 2. M208-Book D Analysis 1.
Point Processes Hardcover Valerie, Cox, D. R. Isham 1980 1st Ed HC.
"Statistical Inference Via Data Science: A Modern Dive into R and the Tidyverse" is a comprehensive textbook authored by Albert Y. Kim and Chester Ismay. Published in 2019 by CRC Press LLC as part of the Chapman and Hall/CRC the R Series, this 430-page book offers an in-depth exploration of statistical inference and regression analysis through the lens of data science. With a focus on the R programming language and Tidyverse ecosystem, this trade paperback publication provides readers with a practical and modern approach to statistical analysis. Perfect for students and professionals in the field of mathematics and data science, this book is a valuable resource for those looking to enhance their understanding of statistical inference techniques.
