Describing Patterns in Data. Organizing Data: Association and Relationships. Collecting Data. Probability. Random Variables and Probability Distributions. Continuous Random Variables and Sampling Distributions. From Samples to Populations: Inferences About Means. Comparing Means. Analyzing Count Data. Simple Linear Regression. Multiple Linear Regression and Time Series Models. Management and Statistics. Appendices. Answers to Selected Exercises. Index.
(source: Nielsen Book Data)
Effective management decision making requires operating experience with quantitative information and analysis. This text offers experience in dealing with real data and opportunities to see how data analysis and inference can affect business decisions. "Statistics in Context" sections in each chapter present a set of real data and a complete case description. Examples, exercises and cases reinforce the assumption that statistical thinking is an important part of competitively-driven decision making. They depict the firm as a system susceptible to analysis for understanding and improving its processes through the use of statistics. The book is organized into six areas: data description and summary; data collection; foundations for inference (probability rules and distributions); inferences about means and proportions; linear models; and statistics and management. (source: Nielsen Book Data)