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• Title:Business statistics / Norean R. Sharpe, Richard D. De Veaux, Paul F. Velleman, David Wright.
  
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• Author/Creator:Sharpe, Norean R. author.
  
• Other Contributors/Collections:De Veaux, Richard D., author.
  Velleman, Paul F., 1949- author.
  Wright, David, author.
  
• Published/Created:Boston : Pearson, [2014].
  ©2014.
  

• Holdings

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  • Location: c.1  DAVID LAM LIBRARY stacksWhere is this?
    
  • Call Number: HF1017 .S468 2014
    
  • Number of Items:1
    
  • Status:Available
    

   
• Library of Congress Subjects:Commercial statistics.
  Commercial statistics--Textbooks.
  Commercial statistics--Problems, exercises, etc.
  
• Edition:Fourth custom edition for the University of British Columbia.
  
• Description:xxxv, 829, 82, 2, 23, 228 pages, 2 unnumbered pages : color illustrations, tables ; 29 cm
  
• Notes:"Taken from: Business Statistics, Second Canadian Edition by Norean R. Sharpe, Richard D. De Veaux, Paul F. Velleman, and David Wright"
  Includes bibliographical references and index.
  
• ISBN:9781269617284
  1269617281
  
• Contents:Pt. 1. Exploring and collecting data. An introduction to statistics
  Data
  Surveys and sampling
  Displaying and describing categorical data
  Displaying and describing quantitative data
  Randomness and probability
  Scatterplots, association, and correlation
  Introduction to linear regression. Pt. 2. Understanding data and distributions. Random variables and probability distributions
  Sampling distributions
  Confidence intervals for proportions
  Testing hypotheses about proportions
  Confidence intervals and hypothesis tests for means
  Comparing two means
  Paired samples and blocks
  Inference for counts : chi-square tests
  Nonparametric methods. Pt. 3. Exploring relationships among variables. Inference for regression
  Understanding residuals
  Multiple regression
  Building multiple regression models. Pt. 4. Building models for decision making. Time series analysis
  Decision making and risk
  Design of experiments and analysis of variance, ANOVA
  Quality control
  Introduction to data mining.