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5 Most Helpful Introductory Statistics Books

In case you are wondering about how you can get an introduction to statistics, one of the best options that you have is to read good statistics books. However, with so many different statistics books available, how can you make sure that you are choosing the right one for you?

The reality is that statistics don’t have to be hard. And it really isn’t. It is only a matter of understanding the basics and then move forward to more complicated subjects.

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In order to help you get the basics that you need to understand statistics completely, we would like to suggest you 5 helpful introductory statistics books.

#1: Statistics for People Who (Think They) Hate Statistics 6th Edition by Neil J. Salkind

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The 6h Edition of the Statistics for People Who (Think They) Hate Statistics is already on the market and you can be sure that this s one of the best introductory statistics books that you can even buy.

The truth is that throughout this book, you’ll see statistics explained in an easy-to-understand way, even with some humor. Within the Statistics for People Who (Think They) Hate Statistics, you will learn about correlation, descriptive statistics, analysis of variance, inferential techniques, and graphical representation of data.

#2: Statistics For Dummies 2nd Edition by Deborah J. Rumsey

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Whenever you see a book like Statistics For Dummies 2nd Edition you know that it is a light reading. The truth is that this statistic book offers you a practical and clear explanation of the basics of statistics. You will finally be able to get a good grasp of statistical calculations, formulas, and techniques.

One of the things that we really like about the Statistics For Dummies 2nd Edition is the fact that it includes a wide variety of examples to ensure that you keep learning throughout the entire book.

Learn more about the basic statistics for data science.

#3: Bayes’ Theorem Examples: A Visual Introduction For Beginners by Dan Morris

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While statistics is a very wide field, the truth is that a lot of people has some issues with the Bayes Theorem. If this is your case, the Bayes’ Theorem Examples: A Visual Introduction For Beginners is the perfect choice for you.

The reality is that the Bayes Theorem is very important when you need to deal with uncertainty. And this is also what tends to be more difficult for people to understand. However, with the Bayes’ Theorem Examples: A Visual Introduction For Beginners, you will understand each problem that you need to solve. After all, this statistics book is filled with a lot of hand-drawn visuals to ensure that you are on the right path.

With the Bayes’ Theorem Examples: A Visual Introduction For Beginners, you will also get a better perspective of the way that many researchers keep using this theorem nowadays.

Take a look at the best statistic books for data science.

#4: Introductory Statistics (2nd Edition) by Robert Gould, Colleen N. Ryan

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Written by Robert Gould and Colleen Ryan, the Introductory Statistics (2nd Edition) is one of the best statistics books to learn how to access and analyze the data today.

The Introductory Statistics (2nd Edition) was written with statistics students in mind and this is why you can expect a simple and clear text that is easily understandable.

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#5: Introductory Statistics by Neil A. Weiss

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If you really like the statistics field and want to ensure that you get the best of statistics books, you should definitely consider getting the Introductory Statistics.

Written by Neil A. Weiss, the Introductory Statistics is a great book that is written in a clear way so that everyone can understand. The truth is that this book is a lot more than just an introduction to statistics. Nevertheless, the ability of the author to write allows you to dominate even some complex topics.

Posted on November 9, 2018 by James Coll. This entry was posted in Blog, Statistical Books. Bookmark the permalink.
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