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Statistics for business & economics / David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran,

By: Contributor(s): Material type: TextTextPublisher: Boston, MA : Cengage Learning, [2018]Copyright date: ©2018Edition: 11th edDescription: xxvii, 1092 pages : color illustrations ; 27 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781337094160 (package)
  • 1337094161
  • 9781305881884 (book only)
Other title:
  • Statistics for business and economics
Subject(s): Genre/Form: DDC classification:
  • 519.5 23
LOC classification:
  • HF1017 .A6 2018
Online resources:
Contents:
Data and statistics -- Descriptive statistics: tabular and graphical displays -- Descriptive statistics: numerical measures -- Introduction to probability -- Discrete probability distributions -- Continuous probability distributions -- Sampling and sampling distributions -- Interval estimation -- Hypothesis tests -- Inference about means and proportions with two populations -- Inferences about population variances -- Comparing multiple proportions, test of independence and goodness of fit -- Experimental design and analysis of variance -- Simple linear regression -- Multiple regression -- Regression analysis: model building -- Time series analysis and forecasting -- Nonparametric methods -- Statistical methods for quality control -- Index numbers -- Decision analysis (on website) -- Sample survey (on website).
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Holdings
Item type Current library Collection Call number Status Barcode
eBooks eBooks eBooks eBooks Business Management/Accounting/Marketing 658 AND (Browse shelf(Opens below)) Available BMFL22100040

Includes bibliographical references (pages 974-975) and index.

Data and statistics -- Descriptive statistics: tabular and graphical displays -- Descriptive statistics: numerical measures -- Introduction to probability -- Discrete probability distributions -- Continuous probability distributions -- Sampling and sampling distributions -- Interval estimation -- Hypothesis tests -- Inference about means and proportions with two populations -- Inferences about population variances -- Comparing multiple proportions, test of independence and goodness of fit -- Experimental design and analysis of variance -- Simple linear regression -- Multiple regression -- Regression analysis: model building -- Time series analysis and forecasting -- Nonparametric methods -- Statistical methods for quality control -- Index numbers -- Decision analysis (on website) -- Sample survey (on website).

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