Title: Statistics for Business and Economics, 11th Edition, (With CD-ROM) Author: Anderson Sweeney Williams ISBN: 8131517055 / 9788131517055 Format: Soft Cover + CD ROM Pages: 1054 Publisher: Cengage Learning Year: 2013 Availability: In Stock
Description
Contents
Statistical methods help make sense of raw data. These principles are useful in many fields. Statistics For Business And Economics (With CD) explains how statistics can help business executives make informed decisions. The authors explain the various statistical concepts from a business perspective.
The book covers the relationship between Data and Statistics. It then goes on to explain Descriptive Statistics, Probability, Distribution, Interval Estimation, Sampling and Hypothesis Tests.
It also covers Inference About Means and Proportions with Two Populations, Test of Goodness of Fit and Independence, Inferences About Population Variances, Regression Analysis : Model Building, Forecasting, Experimental Design and Analysis of Variance. It explains Statistical Methods for Quality Control, Index Numbers, Nonparametric Methods, and Decision Analysis.
The book lays stress on p-values in hypothesis testing. The authors provide concept definitions and also demonstrate how these concepts find applications in real situations. The book also explains how to use applications like Excel and MINITAB in performing statistical analysis of data. The authors discuss the various statistical methods within a practical setting.
The chapters begin with Statistics in Practice sections. These highlight how the concepts that are to be the focus of that chapter find practical applications in real life. The Notes and Comments sections add some important side notes to the points covered.
Statistics For Business And Economics (With CD) also provides real examples to illustrate the techniques used. Each section in the book ends with two kinds of exercises, Methods Exercises and Application Exercises. The first kind of exercises concentrates on providing students with practice in using problem solving methods and formulas. The Application Methods provide exercises that allow the students to apply what they have learnt to try and find solutions to practical problems.
Preface
About the Authors
Chapter 1 : Data and Statistics Chapter 2 : Descriptive Statistics : Tabular and Graphical Presentations Chapter 3 : Descriptive Statistics : Numerical Measures Chapter 4 : Introduction to Probability Chapter 5 : Discrete Probability Distributions Chapter 6 : Continuous Probability Distributions Chapter 7 : Sampling and Sampling Distributions Chapter 8 : Interval Estimation Chapter 9 : Hypothesis Tests Chapter 10 : Statistical Inference about Means and Proportions with Two Populations Chapter 11 : Inferences About Population Variances Chapter 12 : Test of Goodness of Fit and Independence Chapter 13 : Experimental Design and Analysis of Variance Chapter 14 : Simple Linear Regression Chapter 15 : Multiple Regression Chapter 16 : Regression Analysis : Model Building Chapter 17 : Index Numbers Chapter 18 : Forecasting Chapter 19 : Nonparametric Methods Chapter 20 : Statistical Methods for Quality Control Chapter 21 : Decision Analysis Chapter 22 : Sample Survey On CD
Appendix A : References and Bibliography
Appendix B : Tables
Appendix C : Summation Notation
Appendix D : Self-Test Solutions and Answers to Even-Numbered Exercises
Appendix E : Using Excel Functions
Appendix F : Computing p-Values Using Minitab and Excel
Index