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

By: Contributor(s): Material type: TextTextPublisher: Boston, MA : Cengage, 2020Edition: Fifth editionDescription: xiv, 636 pages : illustrations ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781473768451
Other title:
  • Statistics for business and economics
Subject(s): DDC classification:
  • 519.5 AN.S 2020 23
LOC classification:
  • HF1017
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 variance - Simple linear regression - Multiple regression - Regression analysis : model building - Time series analysis and forecasting - Non-parametric methods.
Summary: With its application-oriented approach, the fifth EMEA edition of Statistics for Business and Economics teaches students the core concepts of statistics in the fields of business, management and economics, with the needs of the non-mathematician in mind. The authors interweave statistical methodology with applications of data analysis to enrich students' understanding of how statistics underpin problem-solving and decision-making. Students develop a computational foundation and learn to use various techniques before moving on to statistical application and interpretation. At the end of each section, exercises focus on computation and use of formulas, while application exercises require students to apply what they have learnt to real-world problems. WebAssign is available with this title, a powerful digital solution designed by educators to enrich the teaching and learning experience. WebAssign provides extensive content, instant assessment and superior support.
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Books Books The Knowledge Hub Library Business 519.5 AN.S 2020 (Browse shelf(Opens below)) Not For Loan 211669
Books Books The Knowledge Hub Library Business 519.5 AN.S 2020 (Browse shelf(Opens below)) Not For Loan 211670
Books Books The Knowledge Hub Library Business 519.5 AN.S 2020 (Browse shelf(Opens below)) Not For Loan 211671
Books Books The Knowledge Hub Library Business 519.5 AN.S 2020 (Browse shelf(Opens below)) Not For Loan 211672
Books Books The Knowledge Hub Library Business 519.5 AN.S 2020 (Browse shelf(Opens below)) Not For Loan 211673
Books Books The Knowledge Hub Library Business 519.5 AN.S 2020 (Browse shelf(Opens below)) Available 210302
Books Books The Knowledge Hub Library Business 519.5 AN.S 2020 (Browse shelf(Opens below)) Available 210306

Includes Index.

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 variance - Simple linear regression - Multiple regression - Regression analysis : model building - Time series analysis and forecasting - Non-parametric methods.

With its application-oriented approach, the fifth EMEA edition of Statistics for Business and Economics teaches students the core concepts of statistics in the fields of business, management and economics, with the needs of the non-mathematician in mind. The authors interweave statistical methodology with applications of data analysis to enrich students' understanding of how statistics underpin problem-solving and decision-making. Students develop a computational foundation and learn to use various techniques before moving on to statistical application and interpretation. At the end of each section, exercises focus on computation and use of formulas, while application exercises require students to apply what they have learnt to real-world problems. WebAssign is available with this title, a powerful digital solution designed by educators to enrich the teaching and learning experience. WebAssign provides extensive content, instant assessment and superior support.

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