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Basic business statistics : concepts and applications / Mark L. Berenson, Department of Information Management and Business Analytics, School of Business, Montclair State University, David M. Levine, Department of Information Systems and Statistics, Zicklin School of Business, Baruch College, City University of New York, Kathryn A. Szabat, Department of Business Systems and Analytics, School of Business, La Salle University, David F. Stephan, Two Bridges Instructional Technology.

By: Contributor(s): Material type: TextTextPublisher: New York : Pearson, [2015]Copyright date: ©2015Edition: Thirteenth EditionDescription: xxix, 806 pages : color illustrations ; 29 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781292069029
  • 1292069023
Subject(s): DDC classification:
  • 519.5 23 B.M.B
Contents:
Defining and collecting data -- Organizing and visualizing variables -- Numerical descriptive measures -- Basic probability -- Discrete probability distributions -- The normal distribution and other continuous distributions -- Sampling distributions -- Confidence interval estimation -- Fundamentals of hypothesis testing : one-sample tests -- Two-sample tests -- Analysis of variance -- Chi-square and nonparametric tests -- Simple linear regression -- Introduction to multiple regression -- Multiple regression model building -- Time-series forecasting -- Business analytics -- Getting ready to analyze data in the future -- Appendices -- Self-test solutions and answers to selected even-numbered problems -- Index -- Credits.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Main library A8 Commerce and business administration ( Accounting ) 519.5 B.M.B (Browse shelf(Opens below)) Available 00017038
Books Books Main library A8 Commerce and business administration ( Accounting ) 519.5 B.M.B (Browse shelf(Opens below)) C.2 Available 00017061

includes index.

Defining and collecting data -- Organizing and visualizing variables -- Numerical descriptive measures -- Basic probability -- Discrete probability distributions -- The normal distribution and other continuous distributions -- Sampling distributions -- Confidence interval estimation -- Fundamentals of hypothesis testing : one-sample tests -- Two-sample tests -- Analysis of variance -- Chi-square and nonparametric tests -- Simple linear regression -- Introduction to multiple regression -- Multiple regression model building -- Time-series forecasting -- Business analytics -- Getting ready to analyze data in the future -- Appendices -- Self-test solutions and answers to selected even-numbered problems -- Index -- Credits.

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