Aperçu des semaines
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The use of probability models and statistical methods for analyzing data has become
common practice in virtually all scientific disciplines. This course attempts to provide
a comprehensive introduction to those models and methods most likely to be encoun-
tered and used by students in their careers in engineering and the natural sciences.
Although the examples and exercises have been designed with scientists and engi-
neers in mind, most of the methods covered are basic to statistical analyses in many
other disciplines, so that students of business and the social sciences will also profit
from reading the book.
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This course introduces students to events and sample space, probability, conditional probability, random variables, cumulative distribution function and probability density function, moments of random variables, common distribution functions, elementary introduction to statistics with emphasis on applications and model formulation, descriptive statistics, sampling and sampling distributions, inference, tests, one and two factors analysis of variance, randomized complete block design, correlation and regression, and chi-square tests.