Statistics is considered as one of the most difficult subjects for students. A proper guide is needed to learn statistics. So, we are giving you a list of top 10 best statistics books for beginners and professionals.
But before that, let us look at the basics of statistics.
What is Statistics?
Statistics is the collection and analysis of data in numbers. It is a branch of applied mathematics. Statistics provide methods to collect, analyze, and present numerical data.
You May also read best object-oriented programming books
Application of Statistics
- Statistics is applied to solve industrial, scientific, and social problems.
- In economics, formulation of economic policies based on econometrics
- Helps in value at risk, stock market derivative in the financial sector
- In insurance for the concept of probability
- In the scientific field for analysis of data
let us look at the best statistics books for beginners and professionals.
Author: Robert S. Witte and John S. Witte
This book is for beginners. It guides the learners to the basics of statistics. The book is well-written and easy to understand. The learners will be able to deal with analysis, interpretation, the study of coefficient and correlation, testing hypothesis, and more after reading this book.
Author: Martin Sternstein
The author of this book is a renowned mathematician. Maths is an essential part of statistics. Therefore, it makes the content of the book very excellent to learn statistics.
This book has 15 chapters. Each of them covers all the essential concepts of fo statistics. Students may learn to use a professional calculator by using this book. This book also has question papers with answers for revision. Apart from that, there is a CD for further study.
Author: James T. McClave, P. George Benson and Terry T Sincich
This book is for statistics students. Different experts have written this book, which makes it an excellent choice. The book has real-time problems with solutions as exercises. Also, it has many case studies as a conversational issue.
The exercises are designed perfectly. Students have the chance to learn statistics in real-time scenario. Moreover, it will help them analyze real-time issues statistically.
Author: Charles Wheelan
The author has written this book humorously. All the concepts are discussed interestingly. This book is for beginners who think they are not good at statistics. The comic-style of the author makes the book understandable to beginners.
In this book, the author clearly explains the concepts of correlation, inference, and regression analysis. He also exposes biased manipulation or misrepresentation of data. Also, he teaches how to exploit valuable data from science experiments to solve difficult questions.
Author: David M Diez, Mine Çetinkaya-Rundel, and Christopher D Barr
This book is very well-written in simple words. This book is for learners who are good at maths. Also, it is for those who want to cover the concepts of statistics rapidly. It gives you statistical knowledge in a very brief yet informative way.
The author provides several free tools and techniques in the book. These tools can be modified according to the requirements of the statistician. The author concludes that the real use of statistics is in the analysis of real-world data. And hence, learners should further apply these techniques in real-time scenarios.
Author: Dawn Griffiths
Headfirst series are the best books for beginners in all fields. Their book on statistics defines it. The book presents all the topics in a very interesting way. The topics include probability distributions, histograms, z scores, chi-square tests, and more.
This book has made this subject very interesting. For example, it has visual diagrams, puzzles, quizzes, stories, and many real-life examples. The author also includes topics like sampling, hypothesis, binomial distribution, Poisson distribution, geometric, regression, correlation, and more.
Author: Allen B. Downey
This book is for programmers who want to learn statistics. It is not for beginners. The programmers may learn statistics and probability for python programming.
The author has provided simple techniques to analyze real datasets. Hence, those with basic knowledge in python can learn concepts of statistics and probability. This book has python libraries such as PMFs and CDFs libraries.
Author: Woollcott Smith
The author, Woollcott Smith, is known for writing the comical versions of educational books. If you are from any other field of study and hate statistics, this book will make you love it.
This book is a comic guide to statistics. It includes topics such as probability, random variables, data sets, sampling, binomial distributions, and more. This is a real book for beginners.
Author: Deborah J. Rumsey
The books for dummies are the best books for beginners. This book covers all the topics of statistics very perfectly. It has a practical explanation of statistical techniques, ideas, formulas, and calculations.
This book teaches interpretation and criticizing of charts and graphs in statistics. Also, it explains confidence intervals, probability, statistical formulas, hypothesis tests, and more. It also teaches how statistics is applied to real-life problems.
Author: Larry Wasserman
This book is designed for everyone from data mining students and machine learning students to researchers and computer scientists. It helps to learn statistics at an advanced level.
It has advanced concepts such as bootstrapping, classification, and nonparametric curve estimation. Therefore, this book will help you enhance your statistics career.
Now you know the best statistics for beginners and professionals. Whether you are a beginner or an expert in statistics, there is always a lot more to learn in statistics.
Hence, you may start by choosing one of these books and learn statistics. With time, your knowledge will improve.
But more important is the application of all the things you have learned in a real-life scenario. This will increase your experience and boost your career as a statistician.