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Business statistics demystified / Steven M. Kemp, Sid Kemp.

By: Contributor(s): Material type: TextTextSeries: McGraw-Hill "Demystified" seriesPublisher: New York : McGraw-HIll, [2004]Copyright date: copyright 2004Description: xv, 380 p. : ill. ; 23 cmContent type:
  • text
Carrier type:
  • volume
ISBN:
  • 0071440240
Subject(s): LOC classification:
  • HF 1017 .K32 2004
Summary: McGraw-Hill's Demystified Series teaches complex subjects in a unique, easy-to-absorb manner, and is perfect for users without formal training or unlimited time. They're also the most time-efficient, interestingly written "brush-ups" you can find. Organized as self-teaching guides, they come complete with key points, background information, questions at the end of each chapter, and even final exams. You'll be able to learn more in less time, evaluate your areas of strength and weakness and reinforce your knowledge and confidence. This self-teaching guide brings business statistics down to an understandable level, using practical examples. Coverage includes: probability, analysis of variance, designed experiments, preparing statistical reports, basic statistical procedures, and much more.
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Graduate Studies Graduate Studies DLSU-D GRADUATE STUDIES Graduate Studies Graduate Studies HF 1017 .K32 2004 (Browse shelf(Opens below)) Available 3AEA0000288919

"A self-teaching guide"-cover.

McGraw-Hill's Demystified Series teaches complex subjects in a unique, easy-to-absorb manner, and is perfect for users without formal training or unlimited time. They're also the most time-efficient, interestingly written "brush-ups" you can find.
Organized as self-teaching guides, they come complete with key points, background information, questions at the end of each chapter, and even final exams. You'll be able to learn more in less time, evaluate your areas of strength and weakness and reinforce your knowledge and confidence.
This self-teaching guide brings business statistics down to an understandable level, using practical examples. Coverage includes: probability, analysis of variance, designed experiments, preparing statistical reports, basic statistical procedures, and much more.

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