Statistics for Business and Economics (häftad)
Häftad (Paperback)
Antal sidor
Cengage Learning EMEA
Anderson, David / Cochran, James / Shoesmith, Eddie / Sweeney, Dennis / Freeman, James / Camm, Jeffrey
260 x 195 x 21 mm
1095 g
Antal komponenter
Statistics for Business and Economics (häftad)

Statistics for Business and Economics

(1 röst)
Häftad,  Engelska, 2020-02-04
  • Skickas från oss inom 1-2 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Statistics for Business and Economics Kan levereras innan julafton
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.
Visa hela texten

Passar bra ihop

  1. Statistics for Business and Economics
  2. +
  3. Braiding Sweetgrass

De som köpt den här boken har ofta också köpt Braiding Sweetgrass av Robin Wall Kimmerer (häftad).

Köp båda 2 för 1006 kr


Har du läst boken? Sätt ditt betyg »

Fler böcker av Thomas Williams

Övrig information

Thomas A. Williams is Professor Emeritus of Management Science in the College of Business at Rochester Institute of Technology. Born in Elmira, New York, he earned his BS degree at Clarkson University. He did his graduate work at Rensselaer Polytechnic Institute, where he received his MS and PhD degrees. Before joining the College of Business at RIT, Professor Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the undergraduate program in Information Systems and then served as its coordinator. At RIT he was the first chairman of the Decision Sciences Department. He teaches courses in management science and statistics, as well as graduate courses in regression and decision analysis. Professor Williams is the co-author of 11 textbooks in the areas of management science, statistics, production and operations management and mathematics. He has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the use of data analysis to the development of large-scale regression models. David R. Anderson is Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He earned his BS, MS and PhD degrees from Purdue University. Professor Anderson has served as Head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration at the University of Cincinnati. In addition, he was the coordinator of the Colleges first Executive Program. At the University of Cincinnati, Professor Anderson has taught introductory statistics for business students as well as graduate-level courses in regression analysis, multivariate analysis and management science. He has also taught statistical courses at the Department of Labor in Washington, D.C. He has been honoured with nominations and awards for excellence in teaching and excellence in service to student organizations. Professor Anderson has co-authored 10 textbooks in the areas of statistics, management science, linear programming and production and operations management. He is an active consultant in the field of sampling and statistical methods. James J. Cochran is Professor of Applied Statistics, the Mike and Kathy Mouron Research Chair and Associate Dean for Faculty and Research at the University of Alabama. Born in Dayton, Ohio, he earned his B.S., M.S. and M.B.A. degrees from Wright State University and his Ph.D. from the University of Cincinnati. Dr. Cochran has served at The University of Alabama since 2014 and has been a visiting scholar at Stanford University, Universidad de Talca, the University of South Africa, Pole Universitaire Leonard de Vinci and University College of London. Dr. Cochran has published more than 50 papers in the development and application of operations research and statistical methods. He has published his research in Management Science, T...


Book contents
About the authors
1 Data and statistics
2 Descriptive statistics: tabular and graphical presentations
3 Descriptive statistics: numerical measures
4 Introduction to probability
5 Discrete probability distributions
6 Continuous probability distributions
7 Sampling and sampling distributions
8 Interval estimation
9 Hypothesis tests
10 Statistical inference about means and proportions with two populations
11 Inferences about population variances
12 Tests of goodness of fit and independence
13 Experimental design and analysis of variance
14 Simple linear regression
15 Multiple regression
16 Regression analysis: model building
17 Time series analysis and forecasting
18 Non-parametric methods
Online contents
19 Index numbers
20 Statistical methods for quality control
21 Decision analysis
22 Sample surveys
Chapter Software Sections for EXCEL, MINITAB, SPSS and R
Appendix A: References and bibliography
Appendix B: Tables
Appendix C: Summation Notation
Appendix D: Answers to even-numbered exercises and fully worked solutions to exercises flagged with the SOLUTIONS icon.