Provides a mathematically rigorous introduction to the fundamental ideas of modern statistics for readers without a calculus background.

The Encyclopedia of Measurement and Statistics presents state-of-the-art information and ready-to-use facts from the fields of measurement and statistics in an unintimidating style

The goal of this book is multidimensional: a) to help reviving Statistics education in many parts in the world where it is in crisis. b) to enable any non-statistician to obtain quick and yet comprehensive and highly understandable view on certain statistical term, method or application c) to enable all the researchers, managers and practicioners to refresh their knowledge in Statistics, especially in certain controversial fields. d) to revive interest in statistics among students, since they will see its usefulness and relevance in almost all branches of Science.

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline.

Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.

With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse--a collection of R packages designed to work together to make data science fast, fluent, and fun.

Explore the fundamentals of data analysis, and statistics with case studies using Python.

This is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively.