It presents each statistical concept in a series of short steps, then uses worked examples and exercises to enable students to apply their own learning. It focuses on presenting the why as well as the how of statistical concepts, rather than computations and formulae, so is suitable for students from all disciplines regardless of mathematical background. Only statistical techniques that are almost universally included in introductory statistics courses, and widely reported in journals, have been included. Once students understand and feel comfortable with the statistics that meet these criteria, they should find it easy to master additional statistical concepts. New to the Seventh Edition Retaining the key features and organization that have made this book an indispensable text for teaching and learning the basic concepts of statistical analysis, this new edition features: discussion of the use of observation in quantitative and qualitative research the inclusion of introductions to the book, and each Part. New online instructor resources for classroom use consisting of test bank questions and Powerpoint slides, plus material on basic math review Year:.
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In that, it succeeds reasonably well, but its introduction to statistical thinking, in its attempt to be gentle to those who are unfamiliar with mathematics, ends up being too superficial to be practical for all but the most limited of audiences.
If you have never before taken any course in statistics AND have little interest in actually performing any statistical calculations of your own, this might be a decent book for you. It This book aims to provide a "conceptual overview" of statistics.
It will give you enough information to have a general idea of what researchers are talking about when they report their findings and readers in this category will find the lack of mathematical formulae throughout the book merciful. All but the most elementary of formulae are confined to a brief appendix where mathematical expressions are presented without explanation. The result is that reading the body of the text provides no mathematics and reading the formulae provides no context, so the reader will struggle to connect the two.
And even if the reader does successfully connect formula to concept, the book offers little by way of mathematical sophistication. It probably would have been stronger had it contained a greater variety of explanatory examples, but the reader is genuinely left with an understanding, however basic, of the reasoning behind a handful of the most common statistical techniques. On the other hand, as understanding statistics becomes increasingly important in public life, so does a careful understanding of some incredibly subtle points about interpreting statistics.
While this book briefly touches on such topics the correct understanding of statistical significance and effect size, there is a world of subtler points that I think should have been covered. Where does that leave this book? It was written on a basic level, with a readable and enjoyable tone.
I liked it! I especially appreciated the sidebars which give summaries of main ideas. I only wish that there was an index and a glossary included.
Making Sense of Statistics: A Conceptual Overview
Making Sense of Statistics