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Statistics for business and economics. / David R. Anderson.

By: Contributor(s): Material type: TextPublication details: Hampshire : Cengage Learning, 2014.Edition: 3rd edDescription: xii, 638 p. : ill. (col.) ; 26 cmISBN:
  • 9781408072233
LOC classification:
  • HF1017.A6(e)
Contents:
Contents: Data and statistics -- Descriptive statistics: tabular and graphical presentations -- Descriptive statistics: numerical measures -- Introduction to probability -- Discrete probability distributions -- Continuous probability distributions -- Sampling and sampling distributions -- Interval estimation --Hypothesis tests -- Statistical inference about means and proportions with two populations -- Inferences about population variances -- Tests of goodness of fit and independence -- Experimental design and analysis of variances -- Simple linear regression -- Multiple regression -- Regression analysis: model building -- Time series analysis and forecasting -- Non-parametric methods.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY HF1017.A6(e) (Browse shelf(Opens below)) Available 8581/033/20

Includes index.

Contents: Data and statistics -- Descriptive statistics: tabular and graphical presentations -- Descriptive statistics: numerical measures -- Introduction to probability -- Discrete probability distributions -- Continuous probability distributions -- Sampling and sampling distributions -- Interval estimation --Hypothesis tests -- Statistical inference about means and proportions with two populations -- Inferences about population variances -- Tests of goodness of fit and independence -- Experimental design and analysis of variances -- Simple linear regression -- Multiple regression -- Regression analysis: model building -- Time series analysis and forecasting -- Non-parametric methods.

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