An introductory text for nontechnical students that integrates traditional statistical inference with the more modern idea of data analysis. Material begins with simple data sets and proceeds to those with more structure. Examples are plentiful and have been chosen from diverse fields, making the subject accessible to students of any academic field. Contains many pictures, as well as detailed calculations with step-by-step instructions and formulas that indicate in mathematical notation exactly what is being done. At the end of each chapter is a brief summary which reviews the material and explains key terms. Following this are questions which help readers review main new concepts and ideas, and practice problems (many with real data sets). Requires limited background in mathematics.
First beware: this book is introductory and is targeted towards those whose background does not cover a fair amount of calculus. Therefore if you are comfortable with calculus and following a bunch of formulas and assumptions expressed in math, and that is exactly what you want to do, go for other statistics books crafted towards engineers. I am also an engineer and I wanted to get a grasp of the simple logic behind statistics and data analysis, and the narrative in this book presented an "easy reading". Although the formulas and methods might not help when reading some advanced books (I went on to reading simulation after this after reviewing another book crafted towards engineers), the insight remains and it gets easier to see the connections behind the formulas and various assumptions.
ThriftBooks sells millions of used books at the lowest everyday prices. We personally assess every book's quality and offer rare, out-of-print treasures. We deliver the joy of reading in recyclable packaging with free standard shipping on US orders over $15. ThriftBooks.com. Read more. Spend less.