Introduction to Probability with Statistical Applications

Now in its second edition, this textbook serves as an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. More classical examples such as Montmort's problem, the ballot problem, and Bertrand's paradox are now included, along with applications such as the Maxwell-Boltzmann and Bose-Einstein distributions in physics.

Key features in new edition:

• 35 new exercises

• Expanded section on the algebra of sets

  • Expanded chapters on probabilities to include more classical examples

• New section on regression

• Online instructors' manual containing solutions to all exercises

  Includes nearly 400 exercises and examples allowing students to internalize new concepts Theory and applications carefully balanced Provides a rigorous discussion with carefully motivated definitions, theorems, and proofs Solution Manual offered online Includes supplementary material: sn.pub/extras Request lecturer material: sn.pub/lecturer-material

  Autorentext
  Geza Schay is Professor Emeritus at the University of Massachusetts, Boston, College of Science and Mathematics.

  Inhalt
  Introduction.- The Algebra of Events.- Combinatorial Problems.- Probabilities.- Random Variables.- Expectation, Variance, Moments.- Some Special Distributions.- The Elements of Mathematical Statistics.