PROBABILITY ANDSTATISTICAL INFERENCE

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.

Ch.1 Probability
Ch.2 Discrete Distributions
Ch.3 Continuous Distributions
Ch.4 Multivariate Distributions
Ch.5 The Normal Distribution
Ch.6 Estimation
Ch.7 Bayesian Methods
Ch.8 Tests of Statistical Hypotheses
Ch.9 Theory of Statistical Inference
Ch.10 Quality Improvement Through Statistical Methods