With contributions by leaders in the field, this book provides a comprehensive introduction to the foundations of probability and statistics. Each of the chapters covers a major topic and offers an intuitive view of the subject matter, methodologies, concepts, terms, and related applications. The book is suitable for use for entry level courses in first year university studies of Science and Engineering, higher level courses, postgraduate university studies and for the research community.
Descriptive Statistics, Nicholas Watier, Claude Lamontagne and Sylvain Chartier Probability, Jose I. Barragues, Adolfo Morai,s and Jenaro Guisasola Random Variables, Veronica Y. Kataoka, Irene M. Cazorla, Hugo Hernandez, and Claudia Borim da Silva Sampling, Giovanni Boscaino and Ornella Giambalvo Point Estimation and Statistical Intervals, Martin Griffiths Tests of Hypotheses, Martin Griffiths Analysis of Variance, David L. Trumpower and Sait Atas Factor Analysis, Marta B. Quaglino and Jose A. Pagura Discriminant Analysis, T. Ramayah, Joshua Ignatius, Jasmine Yeap Ai Leen, and Lo May Chiun Multiple Regression Analysis, Maria V. Lopez, Maria C. Fabrizio, and Maria c. Plencovich