Business Statistics, Global Edition, Norean R. Sha
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Statistics and Data Analysis for Microarrays Using R and Bioconductor (Chapman & Hall/CRC Computational Biology Series)
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Applied Statistics Using R: A Guide for the Social Sciences
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Statistics and Data Analysis for Financial Engineering – with R examples
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Basic Statistics for the Behavioral and Social Sciences Using R
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Introductory Applied Statistics: With Resampling Methods & R
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Introduction to Probability and Statistics for Data Science: with R
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Introduction to Probability, Statistics & R – Foundations for Data-Based Sciences – Springer Verlag
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Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation (Data in the Wild)
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Modelling Spatial Density: Data, Methods, and R Applications in Statistics, Econometrics, and Machine Learning
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Spatio-Temporal Statistics with R (Chapman & Hall/CRC The R Series)
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Basics of Matrix Algebra for Statistics with R (Chapman & Hall/CRC The R Series)
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New Statistics for Design Researchers: A Bayesian Workflow in Tidy R (Human-Computer Interaction Series)
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Multivariate Statistics and Machine Learning: Intro to Applied Data Science with R & Python
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Applied Statistics with R – A Practical Guide for the Life Sciences and Beyond
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Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
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R Without Statistics: A Statistics-Free Introduction
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Probability, Statistics, and Data: A Fresh Approach Us - Vaillencourt, Richar - Hardback -26/11/2021
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Analyzing Linguistic Data – A Practical Introduction to Statistics using R
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Statistics and Data Analysis for Financial Engineering – with R examples
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Practical Statistics in R for Comparing Groups: Numerical Variables: 2
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Introductory Statistics with R (Statistics and Computing)
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NONPARAMETRIC STATISTICS WITH R: WHEN ASSUMPTIONS BREAK DOWN (THE APPLIED DATA SCIENCE WITH R SERIES)
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An Introduction To Basic Statistics For Biologists Using R: 1 (Practical Statistics for Biologists Workbooks)
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R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
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Spatial Statistics for Data Science: Theory and Practice with R (Chapman & Hall/CRC Data Science Series)
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Statistics With R: Solving Problems Using Real-World Data
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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