Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
How to Think about Statistics: Sixth Edition

How to Think about Statistics: Sixth Edition

Phillips, John

Paperback

General MathematicsProbability & Statistics

Publisher Price: $23.99

ISBN10: 0805072551
ISBN13: 9780805072556
Publisher: Holt Paperbacks
Published: Aug 7 1999
Pages: 224
Weight: 0.70
Height: 0.60 Width: 9.00 Depth: 6.00
Language: English

Students and professionals alike will relish a title which helps everyday individuals make sense of numbers and how they're interpreted and manipulated.
--Midwest Book Review

Modern life is inundated with statistical data-polls, surveys, economic indicators, advertising claims, and research findings. You can't avoid the numbers, but you can learn to determine what they really mean--even if you suffer from math-phobia. This revised edition offers a common sense method for understanding the statistics that affect your decisions and performance in business, in school, as a consumer, and as a voter. Rather than focus on mathematics and computations, this concise volume familiarizes the reader with the underlying logic of statistical analysis and problem-solving. It reveals how empirical studies are conceived, gathered, reported, interpreted--and sometimes obscured and distorted. The revised edition introduces fundamental concepts, using familiar, concrete examples; develops clearly the implications of those concepts; moves logically from one concept to the next, building a solid framework for interpreting statistical data; Includes numerous sample applications drawn from the fields of education, political science, psychology, social work, and sociology. With dozens of refinements and a new organization, this revised edition should help the reader think critically about the statistical claims and arguments you encounter every day.

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