IMS
Introduction to Modern Statistics
Introduction to Modern Statistics
Introduction to Modern Statistics is now out! See the web version at https://openintro.org/book/ims/online and information on how to find the PDF and paperback versions at https://openintro.org/book/ims/.
Introduction to Modern Statistics puts a heavy emphasis on exploratory data analysis (specifically exploring multivariate relationships using visualization, summarization, and descriptive models) and provides a thorough discussion of simulation-based inference using randomization and bootstrapping, followed by a presentation of the related Central Limit Theorem based approaches.
A few more highlights from the book include:
- Emphasis on multivariable relationships, particularly using data visualization.
- Early introduction to descriptive models and a second look at models for inference and model validation.
- A case study accompanying each part.
- Interactive R tutorials and R labs presented alongside the related content.
- Compelling exploratory data analysis of relevant datasets and with modern visualizations.
The text is suitable for use in introductory statistics and data science courses as well as an upper-level course that dives deeper into comparisons among computational and mathematical methods presented in the book.
You can read more about our motivation and vision for the book at https://www.openintro.org/blog/article/2021-06-27-computational-and-mathematical-models-in-introductory-statistics/.
Thanks go to many people who made the book possible:
- David Diez & Christopher Barr who contributed to the previous incarnation, Introduction to Statistics through Randomization and Simulation,
- Ben Baumer, Andrew Bray, Yanina Bellini Saibene, Florencia D’Andrea, and Roxana Noelia Villafañe for work on the R tutorials,
- Ben Feder for updates to the R labs,
- Meenal Patel and Müge Çetinkaya for their creativity and design work,
- Will Gray for the fantastic visuals,
- Allison Theobold, Melinda Yager, and Randy Prium for their valuable feedback and review of the book,
- Colin Rundel for technical and non-technical support along the way,
- Christophe Dervieux for help with multi-output R Markdown.