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.
Explore the author's Wolfram Notebooks and look for updates in Coursera and Wolfram U for use with this book!
Wolfram Notebooks are viewable for free with Wolfram Player. Contents
1. An Introduction to Data Analysis Using the Wolfram Language
2. Evaluating Basic Math
4. Working with Datasets
5. Data Types
6. Simple Descriptive Statistics
7. Visualizing Data
9. Hypothesis Testing
10. Parametric Tests, Comparing Means
12. Linear Regression
13. Comparing Categorical Variables
14. Nonparametric Tests
15. A Research Project Demonstration
Answers to Exercises
Index Related Topics
Life Sciences, Probability and Statistics