This introduction to statistics helps readers develop and enhance their critical thinking skills. It shows readers how to analyze data that appear in situations in the world around them and features an abundance of examples and exercises—nearly all based on current, real-world applications pulled from journals, magazines, news articles, and commerce. In addition, this book exposes readers to the most recent statistical software packages that will prove helpful on the job. Presenting balanced coverage of both the theory and application of statistics, the book discusses methods for describing data sets; probability; random variables and probability distributions; inferences based on a single sample utilizing tests of hypothesis and confidence intervals; comparing population proportions and means; simple linear regression, and much more. For business, engineering, and science professionals.
As Math textbooks go, this one's pretty good. It has a nice variety of problems for the student to work at the end of each subchapter, from easy ones to advanced ones, and the explanations are actually not bad. As a supplement to a course on Statistics, this is a very useful book. As with almost all Math texts, of course, it is almost completely useless on its own; it's a very rare individual indeed who can learn anything from reading a Math textbook without have someone lecturing and explaining the material; this is a problem innate to Math textbooks, given that a textbook cannot tailor the level of explanation to the student and give as much explanation as needed in the areas that the student finds difficult, without insulting the intelligence of the student in all other areas.This book in no way proves an exception to this rule, but it is no worse than most texts in this regard and is actually somewhat better than most.