Give your students a balanced, conceptual understanding of statistics with a focus on real world applications and the integrated strengths of Microsoft[registered] Excel[registered] 2010. The authoritative leader in modern business statistics, this best selling comprehensive text carefully discusses and clearly develops each statistical technique in an application setting. Microsoft[registered] Excel[registered] 2010 instruction, integrated in each chapter, plays an integral part in strengthening this editions applications orientation.

Immediately after each easy to follow presentation of a statistical procedure, a subsection discusses how to use Excel[registered] to perform the procedure. This integrated approach emphasizes the applications of Excel[registered] while maintaining a primary focus on the statistical methodology. Step by step instructions and screen captures further clarify student learning. A wealth of timely business examples, proven methods, and additional exercises throughout this edition demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems. High quality problems noted for their unwavering accuracy and the authors signature problem scenario approach clearly show how to apply statistical methods in practical business situations. New case problems and self tests allow students to challenge their personal understanding.

This editions comprehensive support package, including the CengageNOW course management system, provides everything you and your students need for an understanding of business statistics. Williams/Anderson/Sweeneys "Conyemporary Business Statistics, 4e, International Edition" is Simply Excellent"!
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