Description
Book SynopsisAbout our authors
David F. Groebner is Professor Emeritus of Production Management in the College of Business and Economics at Boise State University. He has bachelor's and master's degrees in engineering and a Ph.D. in business administration. After working as an engineer, he has taught statistics and related subjects for 27 years. In addition to writing textbooks and academic papers, Groebner has worked extensively with both small and large organizations, including Hewlett-Packard, Boise Cascade, Albertson's, and Ore-Ida. He has worked with numerous government agencies, including Boise City and the U.S. Air Force.
Patrick W. Shannon, Ph.D. is Dean and Professor of Supply Chain Operations Management in the College of Business and Economics at Boise State University. In addition to his administrative responsibilities, he has taught graduate and undergraduate courses in business statistics, quality management, and production and opera
Table of Contents
- The Where, Why, and How of Data
- Graphs, Charts, and Tables: Describing Your Data
- Describing Data Using Numerical Measures
1 - 3 SPECIAL REVIEW SECTION
- Introduction to Probability
- Discrete Probability Distributions
- Introduction to Continuous Probability Distributions
- Introduction to Sampling Distributions
- Estimating Single Population Parameters
- Introduction to Hypothesis Testing
- Estimation and Hypothesis Testing for Two Population Parameters
- Hypothesis Tests and Estimation for Population Variances
- Analysis of Variance
8 - 12 SPECIAL REVIEW SECTION
- Goodness-of-Fit Tests and Contingency Analysis
- Introduction to Linear Regression and Correlation Analysis
- Multiple Regression Analysis and Model Building
- Analyzing and Forecasting Time-Series Data
- Introduction to Nonparametric Statistics
- Introducing Business Analytics
- Introduction to Decision Analysis (Online)
- Introduction to Quality and Statistical Process Control (Online)
APPENDICES A to P
