Statistics for business & economics /
Statistics for business and economics
David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, James Freeman, and Eddie Shoesmith.
- Fifth edition.
- xiv, 636 pages : illustrations ; 26 cm.
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.