Introduction to Statistics with the Wolfram Language
Juan H. Klopper
Introduction to Statistics with the Wolfram Language applies the extensive computational power of the Wolfram Language to the field of statistics. Starting from the basics and working through a range of foundational concepts, Klopper shows just how accessible computational statistics can be given the appropriate tool set. Topics include descriptive statistics, distributions, hypothesis testing, parametric testing, correlation and much more. Follow along as Klopper offers step-by-step instructions and relevant exercises from the field of medical statistics designed to teach readers how to understand and present data in today's increasingly data-driven world.
The Wolfram Language represents a major advance in programming languages that makes leading-edge computation accessible to everyone. Unique in its approach of having vast built-in knowledge and automation, the Wolfram Language scales from a single line of easy-to-understand interactive code to million-line production systems.
Notebooks can be opened in Mathematica or the free Wolfram Player.
Information & Media Inquiries
- Title: Introduction to Statistics with the Wolfram Language
- Author: Juan H. Klopper
- Paperback: $34.95 230 pages
- ebook: $9.95 230 pages
- Publisher: Wolfram Media, Inc.
- Publication Date: December 15, 2020
- ISBN-13: 978-1-57955-033-2 (paperback)
- ISBN-13: 978-1-57955-034-9 (ebook)
Publicity and Interviews: publishing@wolfram.com
Trim Size: 7" x 10"
Non-fiction
Distribution by Ingram
Contents
- An Introduction to Data Analysis Using the Wolfram Language
- Evaluating Basic Math
- Collections
- Working with Datasets
- Data Types
- Simple Descriptive Statistics
- Visualizing Data
- Distributions
- Hypothesis Testing
- Parametric Tests, Comparing Means
- Correlation
- Linear Regression
- Comparing Categorical Variables
- Nonparametric Tests
- A Research Project Demonstration
- Answers to Exercises
- Index
Praise for Dr. Klopper's Previous Coursework
A great introduction to understanding research and a great platform to springboard keen clinicians into performing their own research. Will take what I've learnt and apply it to my own research!
The material is high yield in every regard, giving the right balance of big-picture understanding coupled with enough detail to flesh out the experience and the understanding.