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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To fully understand statistic and probability theory, it is helpful to have a solid foundation in certain mathematical concepts . Here are some common prequisities that are typically useful for studing probability theory :
1. Basic Algebra : A good grasp of algebra is essential for understanding probability theory . This includes understanding and manipulating algebraic expressions , solving equations , and working with variables.
2. Set theory : Probability theory is closely related to set theory, understanding concepts such as sets , unions, intersections, complements and the properties of set is important for studying probability.
3. Basic calculus : While not always strictly necessary for an introductory understanding of calculus can be helpful, especially when dealing with continuous probability distributions.
4. Statistics : A basic understanding of statistics including concepts such as mean , median, mode , variance and standard deviation can be beneficial when studing probability theory.
5. Probability Basic : Familiarity with basic probability concepts such as sample, spaces events, probability.