"Mastering Statistics" - everything you need to know about statistics, presented with clear illustrations, understandable explanations, and real-life examples.
Author Thomas Nield turns complex topics - from probabilities and distributions to hypothesis testing - into accessible and engaging content. You will not only master the basics but also enjoy the process!
In the book, you will find:
- work with probability distributions and data forms;
- the connection between samples and populations through the central limit theorem;
- confidence intervals and hypothesis testing;
- the basics of machine learning: linear and logistic regression;
- a breakdown of common mistakes, p-hacking, and motivational pitfalls.
Statistics help make decisions under uncertainty - from demand forecasting to user behavior analysis. In this book, you'll immediately apply your knowledge in mini-projects: analyze tornado data, model the "perfect cup of coffee," or test the weight of a bag of chips.
"Mastering Statistics" is not dry mathematics, but an exciting journey into the world of probabilities, forecasts, and analysis. You will learn to apply statistics responsibly, avoid pitfalls, and express your conclusions in simple Python code.
