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Business statistics : a decision-making approach / David F. Groebner ...[et al.].

By: Contributor(s): Material type: TextTextPublication details: Upper Saddle River, NJ : Pearson Education, c2001.Edition: 5th edDescription: xxiv, 821 p. ; 25 cm. + 1 CD-ROM (4 3/4 in.)ISBN:
  • 0130934917
Subject(s): LOC classification:
  • HF 1017 .B964 2001
Summary: This comprehensive, user-friendly reference explores many descriptive and inferential statistical topics integral to business problem solving and decision making. Chapter topics include data collection; graphs, charts, and tables; probability distributions; sampling distributions; estimating population values; hypothesis testing; quality management and statistical process control; linear regression and correlation analysis; model building and multiple regression analysis; and nonparametric statistics. For business professionals involved in data presentations and descriptive analyses.
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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 .B964 2001 (Browse shelf(Opens below)) Available 3AEA0000304931
Browsing DLSU-D GRADUATE STUDIES shelves, Shelving location: Graduate Studies, Collection: Graduate Studies Close shelf browser (Hides shelf browser)
HE 151 .N856 2019 Transportation : HF 1017 .An23 2014 Statistics for business and economics / HF 1017 .An23 2018 Statistics for business & economics / HF 1017 .B964 2001 Business statistics : HF 1017 .F895 1993 Elementary business statistics : HF 1017 .J185 2013 Business statistics : HF 1017 .K32 2004 Business statistics demystified /

"CD-ROM included" -- Cover.

This comprehensive, user-friendly reference explores many descriptive and inferential statistical topics integral to business problem solving and decision making. Chapter topics include data collection; graphs, charts, and tables; probability distributions; sampling distributions; estimating population values; hypothesis testing; quality management and statistical process control; linear regression and correlation analysis; model building and multiple regression analysis; and nonparametric statistics. For business professionals involved in data presentations and descriptive analyses.

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