This applied introduction to the mathematics of probability and statistics e mphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variability. Designed for students with a background in calculus, it reinforces basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.
New To This Edition:
‧ New chapter on Bayesian estimation – Includes expanded coverage of Bayesian estimation in the text’s section on statistical inference.
‧ Integration of computer-based data and applications – Features increased use of data and the computer for calculating probabilities, analyzing data, solving problems, and conducting simulations.
‧ Application-oriented content – Features more than 100 new real-world scenarios as exercises and examples, with applications in the areas of biology, economics, health, sociology, and sports.
‧ Updated material throughout – Offers a brief history of probability in the chapter on normal distribution.
New To This Edition:
‧ New chapter on Bayesian estimation – Includes expanded coverage of Bayesian estimation in the text’s section on statistical inference.
‧ Integration of computer-based data and applications – Features increased use of data and the computer for calculating probabilities, analyzing data, solving problems, and conducting simulations.
‧ Application-oriented content – Features more than 100 new real-world scenarios as exercises and examples, with applications in the areas of biology, economics, health, sociology, and sports.
‧ Updated material throughout – Offers a brief history of probability in the chapter on normal distribution.