1
1000
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Title
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510 Mathematics
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<iframe src="//www.youtube.com/embed/Ky2DfnDbVk" frameborder="0" width="480" height="360"></iframe>
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Title
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Probability and Statistics
Description
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We discuss probability and do some basic examples to refresh our memory on practice problems involving probability. Next video we focus on expectation values/ mean and the second moment of distribution.
Date
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20170901T03:04:12.000Z
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http://youtu.be/Ky2DfnDbVk
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<a href="http://creativecommons.org/licenses/by/3.0/legalcode">Creative Commons License</a>
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SciencewithGurni !<br />published via YouTube.com
expectation value
mean
probability
second moment of distribution
Statistics

http://uilis.usk.ac.id/oer/files/original/d8f53de0f9a762db9365ec5f9d5b24a9.pdf
886c9062575cc923124911db15b1ccbf
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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510 Mathematics
Dublin Core
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Title
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Introduction to Probability
Subject
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Introduction to Probability
Probability
Mathematical Probability
Mathematics
Math
Description
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Probability theory began in seventeenth century France when the two great French mathematicians, Blaise Pascal and Pierre de Fermat, corresponded over two problems from games of chance. Problems like those Pascal and Fermat solved continued to inﬂuence such early researchers as Huygens, Bernoulli, and DeMoivre in establishing a mathematical theory of probability. Today, probability theory is a wellestablished
branch of mathematics that ﬁnds applications in every area of scholarly activity from music to physics, and in daily experience from weather prediction to predicting the risks of new medical treatments.
Creator
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Charles M. Grinstead
J. Laurie Snell
Source
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http://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/amsbook.mac.pdf
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Swarthmore College
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Rahmah Agustira
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Creative Commons
Type
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Textbooks
Introduction to Probability
Math
Mathematical Probability
mathematics
probability

http://uilis.usk.ac.id/oer/files/original/1382d3c11f0ffef30629cd294e8045be.pdf
8ddeb2133eb506dc23307220fb854b3d
Dublin Core
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Title
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519 Probabilities & Applied Mathematics
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Title
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Applied Probability
Subject
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Probability
Description
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This is a "first course" in the sense that it presumes no previous course in probability. The mathematical prerequisites are ordinary calculus and the elements of matrix algebra. A few standard series and integrals are used, and double integrals are evaluated as iterated integrals. The reader who can evaluate simple integrals can learn quickly from the examples how to deal with the iterated integrals used in the theory of expectation and conditional expectation. Appendix B provides a convenient compendium of mathematical facts used frequently in this work. And the symbolic toolbox, implementing MAPLE, may be used to evaluate integrals, if desired.
In addition to an introduction to the essential features of basic probability in terms of a precise mathematical model, the work describes and employs user defined MATLAB procedures and functions (which we refer to as mprograms, or simply programs) to solve many important problems in basic probability. This should make the work useful as a standalone exposition as well as a supplement to any of several current textbooks.
Most of the programs developed here were written in earlier versions of MATLAB, but have been revised slightly to make them quite compatible with MATLAB 7. In a few cases, alternate implementations are available in the Statistics Toolbox, but are implemented here directly from the basic MATLAB program, so that students need only that program (and the symbolic mathematics toolbox, if they desire its aid in evaluating integrals).
Since machine methods require precise formulation of problems in appropriate mathematical form, it is necessary to provide some supplementary analytical material, principally the socalled minterm analysis. This material is not only important for computational purposes, but is also useful in displaying some of the structure of the relationships among events.
Creator
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Paul Pfeiffer
Publisher
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OpenStax CNX
Contributor
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Cut Rita Zahara
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Creative Commons
Type
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Textbooks
mathematics
probability