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  • Connected Health Insights for Sustainable Development : Integrating IoT, AI, and Data-Driven Solutions - Shama Siddiqui
    Connected Health Insights for Sustainable Development
    Integrating IoT, AI, and Data-Driven Solutions
    Shama Siddiqui, Anwar Ahmed Khan, Muazzam Ali Khan Khattak and Raazia Sosan
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  • Dependence Models via Hierarchical Structures - Luis E. Nieto-Barajas
    Dependence Models via Hierarchical Structures
    Luis E. Nieto-Barajas
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  • The Random Universe : How Models and Probability Help Us Make Sense of the Cosmos - Andrew H. Jaffe
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    Andrew H. Jaffe
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  • Essential Statistics : Understanding and Using Data - Sheeny Behmard
    Essential Statistics
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    Sheeny Behmard
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  • Mastering Exchange Betting : How to Become a Successful Sports Trader - Pete Nordsted
    Mastering Exchange Betting
    How to Become a Successful Sports Trader
    Pete Nordsted
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  • Measure Theory and Advanced Probability - Azhar ul Haque Sario
    Measure Theory and Advanced Probability
    Azhar ul Haque Sario
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  • R Programming for Mass Spectrometry : Effective and Reproducible Data Analysis - Randall K. Julian
    R Programming for Mass Spectrometry
    Effective and Reproducible Data Analysis
    Randall K. Julian
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  • Communication and Applied Technologies : Proceedings of ICOMTA 2024 - Daniel Barredo Ibáñez
    Communication and Applied Technologies
    Proceedings of ICOMTA 2024
    Daniel Barredo Ibáñez, Eliana Gallardo-Echenique, Hotniar Siringoringo and Nieves Lagares Diez
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  • Econometrics Unveiled Deeply - Azhar ul Haque Sario
    Econometrics Unveiled Deeply
    Azhar ul Haque Sario
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  • DESCRIPTIVE AND INFERENTIAL STATISTICS. Problems and solutions - Mariano Méndez-Suárez
    DESCRIPTIVE AND INFERENTIAL STATISTICS. Problems and solutions
    Mariano Méndez-Suárez
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  • Applied Machine Learning for Data Science Practitioners - Vidya Subramanian
    Applied Machine Learning for Data Science Practitioners
    Vidya Subramanian
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  • Fundamentals of Probability and Statistics for Machine Learning - Ethem Alpaydin
    Fundamentals of Probability and Statistics for Machine Learning
    Ethem Alpaydin
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  • Probability and Statistics for Economics and Business : An Introduction Using R - Jason Abrevaya
    Probability and Statistics for Economics and Business
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    Jason Abrevaya
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  • The Book of R : A First Course in Programming and Statistics - Tilman M. Davies
    The Book of R
    A First Course in Programming and Statistics
    Tilman M. Davies
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  • Unlocking Statistics for the Social Sciences - Norma Sinclair
    Unlocking Statistics for the Social Sciences
    Norma Sinclair
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  • New Trends in Functional Statistics and Related Fields
    New Trends in Functional Statistics and Related Fields
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  • Scalable Monte Carlo for Bayesian Learning - Paul Fearnhead
    Scalable Monte Carlo for Bayesian Learning
    Paul Fearnhead, Christopher Nemeth, Chris J. Oates and Chris Sherlock
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  • Probability and Statistics for Data Science - Carlos Fernandez-Granda
    Probability and Statistics for Data Science
    Carlos Fernandez-Granda
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  • Fundamentals of Active Inference : Principles, Algorithms, and Applications of the Free Energy Principle for Engineers - Sanjeev V. Namjoshi
    Fundamentals of Active Inference
    Principles, Algorithms, and Applications of the...
    Sanjeev V. Namjoshi
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  • Bisociative Literature-Based Discovery : Methods with Tutorials in Python - Nada Lavra?
    Bisociative Literature-Based Discovery
    Methods with Tutorials in Python
    Nada Lavra?, Bojan Cestnik and Andrej Kastrin
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  • Statistics and Faith : A Christian Guide to Telling the Truth with Data - Jason WIlson
    Statistics and Faith
    A Christian Guide to Telling the Truth with Data
    Jason WIlson and Jason Wilson
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  • Linear Algebra, Data Science, and Machine Learning - Jeff Calder
    Linear Algebra, Data Science, and Machine Learning
    Jeff Calder and Peter J. Olver
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  • An Introduction to Stochastic Modeling - Gabriel Lord
    An Introduction to Stochastic Modeling
    Gabriel Lord and Cónall Kelly
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  • Statistics and Data Handling for Biologists : A Student's Guide - Neil Millar
    Statistics and Data Handling for Biologists
    A Student's Guide
    Neil Millar
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  • Understanding Structural Equation Models : Models of Relationships Between Variables - Phillip K. Wood
    Understanding Structural Equation Models
    Models of Relationships Between Variables
    Phillip K. Wood
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  • Cornerstones in Quantitative Empirical Methods : Volume 1: Foundations - Mikkel Bennedsen
    Cornerstones in Quantitative Empirical Methods
    Volume 1: Foundations
    Mikkel Bennedsen and Allan Würtz
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    February 2026 Release
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  • Analytic Methods in Sports : Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports - Thomas A Severini
    Analytic Methods in Sports
    Using Mathematics and Statistics to Understand ...
    Thomas A Severini
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    January 2026 Release
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  • Gaussian Free Field and Liouville Quantum Gravity - Nathanaël Berestycki
    Gaussian Free Field and Liouville Quantum Gravity
    Nathanaël Berestycki and Ellen Powell
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  • Statistics for Textile and Apparel - Jamakhandi Hayavadana
    Statistics for Textile and Apparel
    Jamakhandi Hayavadana
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  • Statistical Decision Theory in Perception and Cognition : Signal Detection and General Recognition Theories - F. Gregory Ashby
    Statistical Decision Theory in Perception and Cognition
    Signal Detection and General Recognition Theories
    F. Gregory Ashby
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  • Bayesian Entrepreneurship - Ajay Agrawal
    Bayesian Entrepreneurship
    Ajay Agrawal, Arnaldo Camuffo, Alfonso Gambardella, Erin L Scott and Scott Stern
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  • Applied Statistics with Python : Volume II: Multivariate Models - Leon Kaganovskiy
    Applied Statistics with Python
    Volume II: Multivariate Models
    Leon Kaganovskiy
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  • Computer Vision in Healthcare : Prediction, Detection and Diagnosis - Saurav Mallik
    Computer Vision in Healthcare
    Prediction, Detection and Diagnosis
    Saurav Mallik, Sandeep Kumar Mathivanan, Prabhu Jayagopal, Hong Qin and Ben Othman Soufiene
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    January 2026 Release
    $239.80
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  • Guide to Multiple Regression - Samia Challal
    Guide to Multiple Regression
    Samia Challal
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    December 30th Release
    $118.99
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  • Modern Time Series with R : Practical forecasting and causal inference with tidy, reproducible workflows - Yeasmin Khandakar
    Modern Time Series with R
    Practical forecasting and causal inference with...
    Yeasmin Khandakar and Roman Ahmed
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    February 2026 Release
    RRP $54.99
    $49.99
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  • Metaheuristics in Engineering Applications : Advances in Metaheuristics - Mathew V K
    Metaheuristics in Engineering Applications
    Advances in Metaheuristics
    Mathew V K
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  • Dose-Exposure-Response Modeling : Methods and Practical Implementation - Jixian Wang
    Dose-Exposure-Response Modeling
    Methods and Practical Implementation
    Jixian Wang
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    February 2026 Release
    $249.75
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  • Mathematical Foundations of Artificial Intelligence : Basics of Manifold Theory - Momiao Xiong
    Mathematical Foundations of Artificial Intelligence
    Basics of Manifold Theory
    Momiao Xiong
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    February 2026 Release
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  • Foundations of Artificial Intelligence in Finance : Insights for Practitioners with Applications and Case Studies - Syed Hasan Jafar
    Foundations of Artificial Intelligence in Finance
    Insights for Practitioners with Applications an...
    Syed Hasan Jafar, Hemachandran K, Donkor Nawaah and Raul Villamarin Rodriguez
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    February 2026 Release
    $155.10
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  • Basic Principles of Epidemiology - Mohammad Tajul Islam
    Basic Principles of Epidemiology
    Mohammad Tajul Islam, Mohammad Delwer Hossain Hawlader and Russell Kabir
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  • Handbook of Statistics in Clinical Oncology - Antje Hoering
    Handbook of Statistics in Clinical Oncology
    Antje Hoering
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    December 31st Release
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  • Spatial Data Analysis in Ecology and Agriculture Using R - Richard E. Plant
    Spatial Data Analysis in Ecology and Agriculture Using R
    Richard E. Plant
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    January 2026 Release
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  • Bayesian Statistical Methods : With Applications to Machine Learning - Brian J. Reich
    Bayesian Statistical Methods
    With Applications to Machine Learning
    Brian J. Reich and Sujit K. Ghosh
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  • Business Analytics : Theory and Practice - Susmita Bandyopadhyay
    Business Analytics
    Theory and Practice
    Susmita Bandyopadhyay
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  • Recent Advances in Computational Methods in Science and Technology : Volume 1 - Sukhpreet Kaur
    Recent Advances in Computational Methods in Science and Technology
    Volume 1
    Sukhpreet Kaur, Amanpreet Kaur and Manish Kumar
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    January 2026 Release
    $396.00
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  • Recent Advances in Computational Methods in Science and Technology : Volume 2 - Sukhpreet Kaur
    Recent Advances in Computational Methods in Science and Technology
    Volume 2
    Sukhpreet Kaur, Amanpreet Kaur and Manish Kumar
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    January 2026 Release
    $396.00
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  • Causal Inference and Machine Learning : In Economics, Social, and Health Sciences - Mutlu Yuksel
    Causal Inference and Machine Learning
    In Economics, Social, and Health Sciences
    Mutlu Yuksel and Yigit Aydede
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    December 31st Release
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  • BiteSize Python for Intermediate Learners : With Practice Labs, Real-World Examples, and ChatGPT - Di Wu
    BiteSize Python for Intermediate Learners
    With Practice Labs, Real-World Examples, and Ch...
    Di Wu
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    March 2026 Release
    $108.89
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  • Statistics in Environmental Monitoring and Assessment - Shin' ichi Okamoto
    Statistics in Environmental Monitoring and Assessment
    Shin' ichi Okamoto and Nguyen Thi Kim Oanh
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    January 2026 Release
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  • Mathematical Theory of Quantum Teleportation Protocols : An Introduction for Scientists and Engineers - Binayak S. Choudhury
    Mathematical Theory of Quantum Teleportation Protocols
    An Introduction for Scientists and Engineers
    Binayak S. Choudhury and Soumen Samanta
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    March 2026 Release
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  • Experimental Design for Data Science and Engineering : Chapman & Hall/CRC Texts in Statistical Science - V. Roshan Joseph
    Experimental Design for Data Science and Engineering
    Chapman & Hall/CRC Texts in Statistical Science
    V. Roshan Joseph
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  • Time Series : A Data Analysis Approach Using R - Robert H. Shumway
    Time Series
    A Data Analysis Approach Using R
    Robert H. Shumway and David S. Stoffer
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    February 2026 Release
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  • Analysis of Multivariate Social Science Data : Statistical Machine Learning Methods - Irini Moustaki
    Analysis of Multivariate Social Science Data
    Statistical Machine Learning Methods
    Irini Moustaki, Fiona Steele, Yunxiao Chen and David Bartholomew
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  • Bayesian Statistical Methods : Chapman & Hall/CRC Texts in Statistical Science - Brian J. Reich
    Bayesian Statistical Methods
    Chapman & Hall/CRC Texts in Statistical Science
    Brian J. Reich and Sujit K. Ghosh
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  • Business Statistics Abridged : Australia and New Zealand : 8th Edition - Eliyathamby A Selvanathan
    Business Statistics Abridged
    Australia and New Zealand : 8th Edition
    Eliyathamby A Selvanathan and Saroja Selvanathan
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  • Computer Science Engineering : Proceedings of the 1st International Conference on Computing and Intelligent Information Systems (ICCIIS 2024), Bangalore, India, 19-20th April, 2024 Volume 2 - Gururaj H L
    Computer Science Engineering
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    Gururaj H L, Francesco Flammini, S Srividhya, Chayadevi M L and Sheba Selvam
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  • Computer Science Engineering : Proceedings of the 1st International Conference on Computing and Intelligent Information Systems (ICCIIS 2024), Bangalore, India, 19-20th April, 2024 Volume 1 - Gururaj H L
    Computer Science Engineering
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    Gururaj H L, Francesco Flammini, S Srividhya, Chayadevi M L and Sheba Selvam
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  • Calculus Made Easy - Silvanus Thompson
    Calculus Made Easy
    Silvanus Thompson
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  • Nothing To Do With Skin : The Fundamentals of Epidemiology and Population Health Research - Deonandan
    Nothing To Do With Skin
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    Deonandan
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  • Improbable Destinies : How Predictable is Evolution? - Jonathan Losos
    Improbable Destinies
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  • Crickonomics : The Anatomy of Modern Cricket: Shortlisted for the Sunday Times Sports Book Awards 2023 - Stefan Szymanski
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    Stefan Szymanski and Tim Wigmore
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  • Sampling : 3rd Edition - Design and Analysis - Sharon L. Lohr
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  • Introduction to the Practice of Statistics : 10th Edition - David S. Moore
    Introduction to the Practice of Statistics
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    David S. Moore, George P. McCabe and Bruce A. Craig
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  • The Basic Practice of Statistics : 9th Edition - David S. Moore
    The Basic Practice of Statistics
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    David S. Moore, William I Notz and Michael Fligner
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  • Research Methods : Concepts and Connections - Michael Passer
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  • Extending the Linear Model with R : 2nd Edition - Generalized Linear, Mixed Effects and Nonparametric Regression Models - Julian J. Faraway
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  • The Practice of Statistics in the Life Sciences : 4th Edition - Brigitte Baldi
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  • Partial Truths : How Fractions Distort Our Thinking - James C. Zimring
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  • Statistics : 1001 Practice Problems For Dummies (  Free Online Practice) - The Experts at Dummies
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  • Sports Analytics in Practice with R - Ted Kwartler
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  • Numbercrunch : A Mathematician's Toolkit for Making Sense of Your World - Professor Oliver Johnson
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  • How to Make the World Add Up : Ten Rules for Thinking Differently About Numbers - Tim Harford
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  • Statistical Rethinking : 2nd Edition - A Bayesian Course with Examples in R and STAN - Richard McElreath
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  • How Contagion Works : Science, Awareness and Community in Times of Global Crises - The short essay that helped change the Covid-19 debate - Paolo Giordano
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    Paolo Giordano and Alex Valente
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  • Partially Observed Markov Decision Processes : Filtering, Learning and Controlled Sensing - Vikram Krishnamurthy
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  • Data Science, Classification, and Artificial Intelligence for Modeling Decision Making - Javier Trejos
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  • Measure Theory for Analysis and Probability - Alok Goswami
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  • Elementary Statistics : 2025 Release ISE - William Navidi
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