How to Think About Statistics (Series of Books in Psychology). Dieser Artikel ist nicht verfügbar.
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Sprache: Englisch
Verlag: W. H. Freeman & Company, 1992
- Softcover
- Gebraucht

Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USAThriftBooks-Atlanta
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Nicht verfügbar
Softcover
Zustand: Gebraucht - Befriedigend
EUR 6,49
Artikelbeschreibung des Verkäufers
Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Bestandsnummer des Verkäufers G0716722879I3N00
- Titel
- How to Think About Statistics (Series of Books in Psychology)
- Autor
- Phillips, John L., Jr.
- Verlag
- W. H. Freeman & Company
- Erscheinungsjahr
- 1992
- Zustand
- Good
- Schutzumschlag
- No Jacket
- Einband
- Paperback
- Sprache
- Englisch
- ISBN-10
- 0716722879
- ISBN-13
- 9780716722878
- Artikelgewicht
- 0,75 Pfund
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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