Statistics for business / Derek L. Waller.

Includes bibliographical references (p. [509]) and index.

Front Cover; Statistics for business; Copyright Page; Contents; About this book; 1. Presenting and organizing data; Numerical Data; Categorical Data; Chapter Summary; Exercise Problems; 2. Characterizing and defining data; Central Tendency of Data; Dispersion of Data; Quartiles; Percentiles; Chapter Summary; Exercise Problems; 3. Basic probability and counting rules; Basic Probability Rules; System Reliability and Probability; Counting Rules; Chapter Summary; Exercise Problems; 4. Probability analysis for discrete data; Distribution for Discrete Random Variables; Binomial Distribution. Poisson DistributionChapter Summary; Exercise Problems; 5. Probability analysis in the normaldistribution; Describing the Normal Distribution; Demonstrating That Data Follow a Normal Distribution; Using a Normal Distribution to Approximate a Binomial Distribution; Chapter Summary; Exercise Problems; 6. Theory and methods of statisticalsampling; Statistical Relationships in Sampling for the Mean; Sampling for the Means from an Infinite Population; Sampling for the Means from a Finite Population; Sampling Distribution of the Proportion; Sampling Methods; Chapter Summary; Exercise Problems. 7. Estimating populationcharacteristicsEstimating the Mean Value; Estimating the Mean Using the Student-t Distribution; Estimating and Auditing; Estimating the Proportion; Margin of Error and Levels of Confidence; Chapter Summary; Exercise Problems; 8. Hypothesis testing of a singlepopulation; Concept of Hypothesis Testing; Hypothesis Testing for the Mean Value; Hypothesis Testing for Proportions; The Probability Value in Testing Hypothesis; Risks in Hypothesis Testing; Chapter Summary; Exercise Problems; 9. Hypothesis testing for differentpopulations. Difference Between the Mean of Two Independent PopulationsDifferences of the Means Between Dependent or Paired Populations; Difference Between the Proportions of Two Populations with Large Samples; Chi-Square Test for Dependency; Chapter Summary; Exercise Problems; 10. Forecasting and estimating fromcorrelated data; A Time Series and Correlation; Linear Regression in a Time Series Data; Linear Regression and Causal Forecasting; Forecasting Using Multiple Regression; Forecasting Using Non-linear Regression; Seasonal Patterns in Forecasting; Considerations in Statistical Forecasting. Chapter SummaryExercise Problems; 11. Indexing as a method for dataanalysis; Relative Time-Based Indexes; Relative Regional Indexes; Weighting the Index Number; Chapter Summary; Exercise Problems; Appendix I: Key Terminology and Formula in Statistics; Appendix II: Guide for Using Microsoft Excel 2003 in This Textbook; Appendix III: Mathematical Relationships; Appendix IV: Answers to End of Chapter Exercises; Bibliography; Index.

Statistical analysis is essential to business decision-making and management, but the underlying theory of data collection, organization and analysis is one of the most challenging topics for business students and practitioners. This user-friendly text and CD-ROM package will help you to develop strong skills in presenting and interpreting statistical information in a business or management environment. Based entirely on using Microsoft Excel rather than more complicated applications