Robert Hogg; Elliot Tanis ; Dale Zimmerman
Because of recent developments in computing technology, particularly in the fields of science and industry, there is a growing demand for additional statistical scientists to analyze the massive amounts of data that are being gathered. The 10th edition of Probability and Statistical Inference, which was written by seasoned statisticians, has a strong emphasis on the presence of variation in virtually every process and how the study of probability and statistics may assist in better comprehending this variation.
This practical introduction to probability and statistics builds on foundational mathematical concepts by providing numerous examples and applications drawn from the real world to explain how such concepts are relevant in today's environment. Although it was written for a two-semester course, it is flexible enough to be used for a one-semester class as well. A strong foundation in calculus is required, but there is no requirement for having studied probability or statistics in the past.