

Conceptual Introduction

A Very Nice, Inexpensive Introduction To Subject

delightful list of statistical quotesThere are quotes from Shakespeare, Thomas Jefferson and even some famous statisticians like John Tukey, R. A. Fisher, Stephen Stigler and George Box. The quotes are arranged by topics that are listed in alphabetical order. The author and source are given. Sometimes the author is known but the source is unknown.
It appears to be well researched but I did find one error. Peter A. (Tony) Lachenbruch is listed as Peter Luchenbruch.
A nice and important feature of the book is the author index in the back. Each author has a list of topics for which he or she has quotes. The page numbers for theses quotes are given.
There is also an index of topics that lists each author and the page number of their quote under the topic. Ordering is alphabetical throughout.
Also, some cute and sometimes funny cartoons are interspersed throughout the book.


Tutorial approach to learn Statistics

humorous math book - amazing

statistic

Probabilities

A readable intro to StatisticsFrank and Althoen are all business and their business is to get you to the point that you can do statistics and understand it. The authors do a nice job of presenting a mathematic subject. There are lots of examples, clearly worked out. The examples and student problems are with small enough data sets that you can work through them easily without getting lost in calculations.
This book is 850 pages. black and white. self contained. no photos, no side bars, and just enough graphs and charts. It's full of text that is well crafted and gently pulls you along through a lot of statistical "Concepts and Applications".
This book assumes you know algebra but not calculus.


This book provide hints to alert readers on misuse of stats

Great Companion/WorkbookThe authors present each method in a clear and concise manner and offer groupings of work problems that keep you progressing to the point that you will feel at ease with each chapter.
The text is a wonderful guide in itself, but combined with the companion book there is no problem that cannot be overcome.
The book reads sequentially. Each chapter assumes the reader has a firm grasp of the preceding ones. So, if you do not have the time to read a book sequentially, this book is probably not for you. This book does not assume that you'll already have know something about statistics. It starts more or less from scratch.