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"Contents : Overview and descriptive statistics -- Probability -- Discrete random variables and probability distributions -- Continous random variables and probability distributions -- Joint probability distributions and randoms samples -- Point estimation -- Statistical intervals based on a single sample -- Test of hypotheses based on single sample -- Inferences based on two samples -- The analysis of variance -- Multifactor analysis of variance -- Simple linear regression and correlation -- Nonlinear and multiple regression -- Goodness-of-fit tests and caterogical data analysis"

"Basic Concepts of Probability and Statistics provides a mathematically rigorous introduction to the fundamental ideas of modern statistics for readers without a calculus background. It is the only book at this level to introduce readers to modern concepts of hypothesis testing and estimation, covering basic concepts of finite, discrete models of probability and elementary statistical methods. Although published in 1970, it maintains a modern outlook, especially in its emphasis on models and model building and also by its coverage of topics such as simple random and stratified survey sampling, experimental design, and nonparametric tests and its discussion of power. The book covers a wide range of applications in manufacturing, biology, and social science, including demographics, political science, and sociology."