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Introduction to Modern Statistics by Mine Çetinkaya-Rundel and Johanna Hardin




Introduction to Modern Statistics - Table of Contents

  • 1. Fundamentals & Introduction to Data Collection
  • 2. Graphical & Numerical Exploratory Data Analysis
  • 3. Principles of Linear & Multiple Regression Modeling
  • 4. Mathematical Foundations of Statistical Inference
  • 5. Hypothesis Testing & Statistical Inference Techniques
  • 6. Advanced Logistic & Multivariate Inferential Modeling

What You Will Learn in Introduction to Modern Statistics

Introduction to Modern Statistics by Mine Çetinkaya-Rundel and Johanna Hardin is a comprehensive computational guide designed for university undergraduates and data analysis practitioners. Serving as an essential modern statistics textbook for data science students, this volume modernizes traditional statistics around tidy data and R computing workflows.

Çetinkaya-Rundel and Hardin’s intuitive pedagogy enables readers to learn modern statistics and data science step-by-step. Topics transition seamlessly from exploratory data graphics and linear modeling to bootstrap resampling, hypothesis testing, and multiple regression, making this a complete introduction to modern statistics pdf study reference.

Ideal for introductory college statistics, empirical researchers, and self-learners, this open-access OpenIntro project offers an outstanding free data analysis and statistics textbook for beginners. Available as an accessible educational reference, it stands as an indispensable applied statistics study guide for self-learners mastering empirical inference.

Book Details & Specifications

Title: Introduction to Modern Statistics by Mine Çetinkaya-Rundel and Johanna Hardin
Publisher: OpenIntro
Year: 2024
Pages: 510
Type: PDF
Language: English
ISBN-10 #: 1943450277
ISBN-13 #: 978-1943450275
License: CC BY-NC-SA 4.0
Amazon: Amazon

About the Author: Mine Çetinkaya-Rundel

The author Mine Çetinkaya-Rundel (Duke University / Posit) and Johanna Hardin (Pomona College) are internationally renowned statistics educators, leaders in data science pedagogy, and core leaders of the OpenIntro project dedicated to high-quality free learning materials.

Their open-access textbook, Introduction to Modern Statistics PDF by Mine Çetinkaya-Rundel and Johanna Hardin, is widely adopted by top universities globally for its modern, computation-first approach to statistical education.


Free Introductory Statistics Books PDF | Beginner Textbooks Index

Think Stats: Prob & Stats for Programmers - Downey | PDF
Download Think Stats Probability And Statistics For Programmers PDF By Allen B. Downey. Learn Distributions, Hypothesis Testing, And Python Analysis.
Descriptive and Inferential Statistics - Van Elst | PDF
Foundations of Descriptive & Inferential Statistics for data understanding and research applications, best for students and researchers.
Statistical Thinking for the 21st Century - Poldrack | PDF
Download Statistical Thinking For The 21st Century PDF By Russell Poldrack. Learn Data Modeling, Hypothesis Testing, Resampling, Bayesian Inference.
Intro to Prob & Stats using R - G. Jay Kerns | PDF
Introduction to Probability and Statistics Using R Learn probability and statistics with R programming and data analysis for practical understanding.
Introduction to Modern Statistics - Rundel & Rundel | PDF
Download Introduction To Modern Statistics PDF By Mine Cetinkaya-Rundel And Johanna Hardin. Learn Exploratory Data Analysis, Regression, And Inference

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