Introduction to Statistics with the Wolfram Language

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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!

From the Publisher

"One of the best Mathematica texts I've ever found.

It's only 200 pages in length, but if you're taking a stats course and want to use Mathematica to practice and learn while doing so, this is an absolute must-buy."

From the Introduction

"This text will teach you a practical, useful, and modern approach to analyzing data. In this first chapter, I will aim to give a quick and useful overview of doing data analysis using the Wolfram Language. With today's modern computational tools, statistics and data analysis can be easy to use and very exciting to learn.

The Wolfram Language is a powerful and modern computer language, and Chapters 2–4 will get you up and running with the language. Let me use this introduction to allay your fears about computer languages. Though it is not necessary to learn a computer language to learn statistics, learning this computer language will help you learn statistics faster. It will even provide you with the power to start using statistics immediately in your own life.

Once you become familiar with speaking your new language, we will use it throughout the rest of the text to explain statistical concepts in a way that is much easier than trying to understand esoteric equations. Together we will learn what the equations mean and how simple it is to do the calculations."

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

About the Author

Dr. Juan Klopper is a surgeon in academic practice at Groote Schuur Hospital in Cape Town, South Africa. Within this role, he works to develop educational resources and improve health care using data science and mathematics. Mathematica and the Wolfram Language are prominent among the tools that he has found useful in these pursuits. Dr. Klopper is also the Head of Postgraduate Surgical Research and the Head of Surgical Education at the University of Cape Town.

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Page Count
220 368 424 376 572 280

Wolfram Language Programming Level
Intermediate Intermediate Intermediate Beginner Beginner Beginner

ASIN ‏ : ‎ B08QV5LTT6
Publisher ‏ : ‎ Wolfram Media
Accessibility ‏ : ‎ Learn more
Publication date ‏ : ‎ December 15, 2020
Language ‏ : ‎ English
File size ‏ : ‎ 10.7 MB
Enhanced typesetting ‏ : ‎ Not Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Format ‏ : ‎ Print Replica
ISBN-13 ‏ : ‎ 978-1579550349
Page Flip ‏ : ‎ Not Enabled
Best Sellers Rank: #1,707,302 in Kindle Store (See Top 100 in Kindle Store) #83 in Biostatistics (Kindle Store) #279 in Medical Research (Kindle Store) #392 in Biostatistics (Books)
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