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Education

Several Best Statistics Book For Beginners: One Should Know

Statistics… If we talk about statistics, it is one of the vital subjects. It helps in our day-to-day lives. For example, weather forecasting, sports, traveling, research, education, etc. But, for many mathematics students, it is quite a difficult subject. However, without the best statistics book, it is tough to understand the basics of statistics. Also, solve the difficult statistics questions.

In addition, statistics play an important role in assisting business, marketing, and finance experts. It helps in making the ideal strategies. Because of these strategies, businesses can easily deal with data analysis, make predictions, and make plans appropriately.

However, the best statistics book helps you in learning the basic concepts and applications of statistics. So, if you want to know the best books on statistics, this blog will be helpful for you. We are mentioning some of the best books on statistics that will help you understand the vital and difficult concepts of statistics assignment help.

Best Statistics Book For Beginners

If you are interested in learning about statistics and want to learn more about them, the following are several books on statistics that will help you. So let’s start our discussion.

Book Name: An Introduction To Statistics Learning

Authors Name: Gareth James, Trevor Hastie, Daniela Witten, and Robert Tibshirani

This statistics book gives an easy and simple explanation of statistical learning. Also, it provides an important method for making sense of huge and complex data sets. Moreover, this book contains the most basic modeling and prediction techniques, and also their applications. For example,

  • Linear Regression
  • Classification
  • ResamplingMethod
  • Shrinkage Approaches
  • Tree-based Algorithms
  • Support Vector Machines
  • Clustering

Moreover, the goal of this book is to make statistical learning strategies more easy and simple for beginners. Also, every chapter of this book includes a tutorial on how to use R (a popular open-source statistical software platform, to implement the analyses and methods presented.).

Book Name: All Of Statistics 

Author Name: Larry Wasserman

This book covers a wider range of subjects than a usual beginner book on mathematical statistics. However, this book is especially for those who want to easily understand probability and statistics. Also, it is ideal for advanced undergraduate and graduate students in computer science, mathematics, statistics, and related fields.

Moreover, the book also covers subjects like:

  • Non-Parametric Curve Estimation
  • Bootstrapping
  • Classification

Book Name: Naked Statistics

Author Name: Charles Wheelen

This book is a lifeline for people who slept during Stats 101. Wheelan focuses on the basic idea that drives statistical analysis by avoiding the complex and technical details. He explains basic concepts like:

  • Inference
  • Correlation
  • Regression Analysis
  • Explains how biassed or careless people can change or misrepresent data.
  • Shows how smart and creative statistics use valuable data from natural experiments to solve difficult topics.

Book Name: Principles Of Statistics

Author Name: M.G. Bulmer

This book was created for students of natural science, social scientists, and undergraduate mathematics students, and for those who are familiar with the basics of the mathematics language. Moreover, this statistics book is ideal for beginners. Because it does not require any prior knowledge of statistics or probability. Also, it does not demand many more mathematical skills than a basic understanding of differential and integral calculus.

Book Name: Statistics

Author Name: Robert S. Witte and John S. Witte

The authors of Statistics, 11th Edition draw on over 40 years of expertise to present business professionals with a clear and concise approach to basic statistical methods. This book explains the vital concepts and methods of descriptive and inferential statistical analysis. Also, it focuses on expressions that use sums of squares and degrees of freedom, as well as the role of variability.

However, this approach will help business people in understanding several concepts. For example:

  • Standard Deviation
  • Variance Interpretation of the Correlation Coefficient
  • Hypothesis Tests
  • Degrees of Freedom
  • P-values
  • Effect-Size Estimations

Book Name: The Elements Of Statistics Learning

Author Name: Trevor Hastie, Jerome Friedman, and Robert Tibshirani

This book provides several ideas for different professions. For example, medical, biology, finance, and marketing. This book focuses on concepts instead of mathematics. However, for students who are interested in data mining in science or business, this book is ideal for them. 

Moreover, the scope of this is extensive. This book covers from supervised (prediction) learning to unsupervised learning. The topics that this book includes are:

  • Neural Networks
  • Support Vector Machines
  • Classification Trees
  • Boosting

Book Name: Head First Statistics

Author Name: Dawn Griffiths

This book is especially for high school and college statistics students. Also, this book meets the College Board’s Advanced Placement (AP) Statistics Exam standards. However, with this book, you will:

  • Explore the entire scope of first-year statistics subjects.
  • Tackle difficult statistical topics with Head First’s dynamic and visually rich format. This will help learn and remember information.
  • Study real-world situations ranging from casino gambling to prescription drug tests to help you understand statistical principles.
  • Learn how to compute the odds using probability. Also, how to understand normal, binomial, geometric, and Poisson distributions.
  • Sampling
  • Correlation
  • Regression
  • Hypothesis Testing
  • Chi-Square Analysis

Book name: Statistical Inference

Author Name: George Casella

This book starts with the basics of probability theory and develops theoretical statistics. The author explains the theory of statistical inference from the basics by using statistical techniques, definitions, and ideas.

Moreover, this book is suitable for those who have a strong understanding of mathematics. 

Final Words

To sum up, we have discussed the several best statistics book for beginners. These books help novices learn the basics of statistics. Also, they can easily understand and learn the complex and difficult concepts of statistics. The above-mentioned books of statistics are ideal for students. However, you can select any one out of them and start to gain statistics skills with the help of the above books. 

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