Beginning with the historical background of probability theory this thoroughly revised text examines all important aspects of mathematical probability - including random variables probability distributions characteristic and generating functions stochatic convergence and limit theorems - and provides an introduction to various types of statistical problems covering the broad range of statistical inference.;Requiring a prerequisite in calculus for complete understanding of the topics discussed the Second Edition contains new material on: univariate distributions; multivariate distributions; large-sample methods; decision theory; and applications of ANOVA.;A primary text for a year-long undergraduate course in statistics (but easily adapted for a one-semester course in probability only) Introduction to Probability and Statistics is for undergraduate students in a wide range of disciplines-statistics probability mathematics social science economics engineering agriculture biometry and education.|Introduction to Probability and Statistics | Statistics
