This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage.
As with the previous editions, Ross' text has remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications. apply probability theory to everyday statistical problems and situations.
New to the 4th Edition:
- New Chapter on Simulation, Bootstrap Statistical Methods, and Permutation Tests
- 20% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological,
physical and computer science
- New Real data examples that use significant real data from actual studies across life science, engineering, computing and
business
- New End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the
material
Chapter 1 Introduction to Statistics
Chapter 2 Descriptive Statistics
Chapter 3 Elements of Probability
Chapter 4 Random Variables and Expectation
Chapter 5 Special Random Variables
Chapter 6 Distributions of Sampling Statistics
Chapter 7 Parameter Estimation
Chapter 8 Hypothesis Testing
Chapter 9 Regression
Chapter 10 Analysis of Aariance
, etc.