| This highly accessible text gives students a solid foundation in traditional inferential statistics with the concepts of quality, variability, and process unifying themes. It covers three important features of data-center, distribution shape, and variation-for processes as well as for populations. The book also explores whether a process is statistically stable and show how analysis of an unstable process can easily lead to incorrect, misleading, and costly decisions. It develops control charts and uses them as a statistical tool to track processes. It also covers the techniques for measuring and understanding variation, and details its effects on costs and quality. |
Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he has taught statistics for over 30 years. In addition to this text, Marty is the author of Elementary Statistics, Elementary Statistics Using Excel, Essentials of Statistics, and he is a co-author of Biostatistics for the Biological and Health Sciences, Statistical Reasoning for Everyday Life and Business Statistics. He has written several manuals and workbooks for technology supporting statistics education. Outside of the classroom, Marty has been a speaker at many conferences and colleges. His consulting work includes the design of casino slot machines and fishing rods, and he has worked with attorneys in determining probabilities in paternity lawsuits, identifying salary inequities based on gender, analyzing disputed election results, analyzing medical data, and analyzing medical school surveys. Marty has testified as an expert witness in New York State Supreme Court. The Text and Academic Authors Association has awarded Mario F. Triola a "Texty" for Excellence for his work on Elementary Statistics.
