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  2. How to Read Numbers - Wikipedia

    en.wikipedia.org/wiki/How_to_Read_Numbers

    How to Read Numbers: A Guide to Statistics in the News (and Knowing When to Trust Them) is a 2021 British book by Tom and David Chivers. It describes misleading uses of statistics in the news, with contemporary examples about the COVID-19 pandemic, healthcare, politics and crime. The book was conceived by the authors, who are cousins, in early ...

  3. List of important publications in statistics - Wikipedia

    en.wikipedia.org/wiki/List_of_important...

    This book was written before computer programmes were available, so it gives the detail needed to make the calculations manually.Cited in more than 1,381 publications between 1961 and 1975. [6] Importance: Influence. Biometry: The Principles and Practices of Statistics in Biological Research . Authors: Robert R. Sokal; F. J. Rohlf

  4. OpenIntro Statistics - Wikipedia

    en.wikipedia.org/wiki/OpenIntro_Statistics

    OpenIntro Statistics is an open-source textbook for introductory statistics, written by David Diez, Christopher Barr, and Mine Çetinkaya-Rundel. [ 1 ] The textbook is available online as a free PDF, as LaTeX source and as a royalty-free paperback.

  5. Category:Statistics books - Wikipedia

    en.wikipedia.org/wiki/Category:Statistics_books

    Pages in category "Statistics books" The following 23 pages are in this category, out of 23 total. This list may not reflect recent changes. C. Causality (book)

  6. 12 best investing books for beginners - AOL

    www.aol.com/finance/12-best-investing-books...

    Best books on investing for beginners 1. The Only Investment Guide You’ll Ever Need, by Andrew Tobias. If you are truly just starting out in your investing journey, this book is a great place to ...

  7. How to Lie with Statistics - Wikipedia

    en.wikipedia.org/wiki/How_to_Lie_with_Statistics

    The book is a brief, breezy illustrated volume outlining the misuse of statistics and errors in the interpretation of statistics, and how errors create incorrect conclusions. In the 1960s and 1970s, it became a standard textbook introduction to the subject of statistics for many college students.

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