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Independent trials --
Independent trials --

Lectures 1 and 2 - UCSD Mathematics
Lectures 1 and 2 - UCSD Mathematics

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Document

... iii) Now extend the results of i) and ii) to derive an expression for the probability that the maximum of n independent Uniform(0, 1) random variables exceeds 0.5. What happens to this probability as n becomes increasingly large? ...
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Continuous Random Variables - Department of Statistics | OSU

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Continuous Random Variables

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6.3.1 Binomial Settings and Binomial Random Variables What do

... When  checking  the  Binary  condition,  note  that  there  can  be  more  than  two  possible  outcomes  per  trial—a   roulette  wheel  has  numbered  slots  of  three  colors:  red,  black,  and  green.  If  we  define  “success”   ...
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Statistics - Franklin Public Schools

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Data Analysis, Probability, and Statistics for Teachers

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EE250 - SJSU Engineering

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Lecture 7: Application of Union theorem: Maximum load

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ST 371 (V): Families of Discrete Distributions

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independent

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Notes - ECE@NUS

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FINAL EXAM REVIEW

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California Common Core State Standards Introduction to the

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An Introduction to Probability Theory and Its Applications

< 1 ... 167 168 169 170 171 172 173 174 175 ... 412 >

Probability

Probability is the measure of the likeliness that an event will occur. Probability is quantified as a number between 0 and 1 (where 0 indicates impossibility and 1 indicates certainty). The higher the probability of an event, the more certain we are that the event will occur. A simple example is the toss of a fair (unbiased) coin. Since the two outcomes are equally probable, the probability of ""heads"" equals the probability of ""tails"", so the probability is 1/2 (or 50%) chance of either ""heads"" or ""tails"".These concepts have been given an axiomatic mathematical formalization in probability theory (see probability axioms), which is used widely in such areas of study as mathematics, statistics, finance, gambling, science (in particular physics), artificial intelligence/machine learning, computer science, game theory, and philosophy to, for example, draw inferences about the expected frequency of events. Probability theory is also used to describe the underlying mechanics and regularities of complex systems.
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