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1. Virtual Laboratories In Probability And Statistics
Interactive, webbased resources for students and teachers of probability and statistics.
http://www.math.uah.edu/stat/

Extractions: var baseURL = "./"; Foundations Probability Spaces Distributions Expected Value ... Interacting Particle Systems The goal of this project is to provide free, high quality, interactive, web-based resources for students and teachers of probability and statistics. Basically, our project consists of an integrated set of components that includes expository text, ancillary material (applets, data sets, biographical sketches), and an object library. Please read the introduction for more information about the content, structure, mathematical prerequisites, and organization of the project. This site uses a number of advanced technologies, including the Mathematics Markup Language (MathML), for portable and notationally correct mathematical expressions, and the Java 2 Runtime Environment for the applets. To use this site, you will need one of the following browser configurations. The first one is recommended.

The Applied probability Trust is a nonprofit foundation for study and research in the mathematical sciences. It publishes research journals, a student magazine and occasional special volumes.
http://www.shef.ac.uk/uni/companies/apt/

3. Percent And Probability
Learn what a percent is and how to figure probability.
http://www.mathleague.com/help/percent/percent.htm

Extractions: Probability Math Contests School League Competitions Contest Problem Books Challenging, fun math practice Educational Software Comprehensive Learning Tools Visit the Math League A percent is a ratio of a number to 100. A percent can be expressed using the percent symbol %. Example: 10 percent or 10% are both the same, and stand for the ratio 10:100. A percent is equivalent to a fraction with denominator 100. Example: 5% of something = 5/100 of that thing. Example: 2 1/2% is equal to what fraction?

4. 60: Probability Theory And Stochastic Processes
Part of Dave Rusin's excellent Mathematical Atlas.
http://www.math.niu.edu/~rusin/known-math/index/60-XX.html

Extractions: POINTERS: Texts Software Web links Selected topics here Probability theory is simply enumerative combinatorial analysis when applied to finite sets; thus the techniques and results resemble those of discrete mathematics. The theory comes into its own when considering infinite sets of possible outcomes. This requires much measure theory (and a careful interpretation of results!) More analysis enters with the study of distribution functions, and limit theorems implying central tendencies. Applications to repeated transitions or transitions over time lead to Markov processes and stochastic processes. Probability concepts are applied across mathematics when considering random structures, and in particular lead to good algorithms in some settings even in pure mathematics. A list of references on the history of probability and statistics is available. Some material in probability (especially foundational questions) is really measure theory . The topic of randomly generating points on a sphere is included here but there is another page with general discussions of spheres . Probability questions given a finite sample space are usually "just" a lot of counting, and so are included with

5. Probability Web
A collection of pages maintained by Bob Dobrow to serve people with interests in probability theory and its applications.
http://www.mathcs.carleton.edu/probweb/probweb.html

6. Probability Tutorials
Tutorials in measure theory, lebesgue integration and probability, by Noel Vaillant.
http://www.probability.net/

7. Lessons On Probability
Math Goodies offers 10 interactive lessons on topics in probability.

8. Percent And Probability
Learn what a percent is and how to figure probability.

9. The Probability Web: Journals
Interdisciplinary probability journals those whose focus is the application of probability and stochastic processes within a specific area or areas.
http://www.mathcs.carleton.edu/probweb/journals.html

Extractions: Journals Journals are listed under several headings. Mainstream journals : those whose major focus is probability theory and its applications, stochastic processes or stochastic modelling. Electronic bulletins Interdisciplinary probability journals : those whose focus is the application of probability and stochastic processes within a specific area or areas. Queueing theory and telecommunications modelling : a separate heading is given to these important areas of stochastic modelling. Operational research : operational research journals which have significant stochastic modelling content. Probability and mathematics : journals incorporating probability and other branches of mathematics. Probability and statistics : journals incorporating both probability and statistics. Mathematical reviews Mainstream journals Advances in Applied Probability Advances in Probability and Related Topics (Marcel Dekker) Annals of Applied Probability (Institute of Mathematical Statistics) Annals of Probability (Institute of Mathematical Statistics) Bernoulli (Bernoulli Society for Mathematical Statistics and Probability) Chance (a co-publication of the American Statistical Association and Springer-Verlag) Electronic Journal of Probability Electronic Communications in Probability ESAIM Probability and Statistics Frontiers in Pure and Applied Probability (VSP, Utrecht TVP, Moscow)

10. Probability Web
A collection of pages maintained by Bob Dobrow to serve people with interests in probability theory and its applications.

11. Interactive Mathematics Miscellany And Puzzles, Probability
Math puzzles. Interactive education. probability examples, Random number generator.
http://www.cut-the-knot.org/probability.shtml

Extractions: Discover, January, 1981 American Heritage Dictionary defines Probability Theory as the branch of Mathematics that studies the likelihood of occurrence of random events in order to predict the behavior of defined systems. Starting with this definition, it would (probably :-) be right to conclude that the Probability Theory, being a branch of Mathematics, is an exact, deductive science that studies uncertain quantities related to random events. This might seem to be a strange marriage of mathematical certainty and uncertainty of randomness. On a second thought, though, most people will agree that a newly conceived baby has a 50-50 chance (exact but, likely, inaccurate estimate) to be, for example, a girl or a boy, for that matter. Interestingly, a recent book by Marilyn vos Savant dealing with people's perception of probability and statistics is titled "The Power of Logical Thinking". My first problems will be drawn from this book. As with other mathematical problems, it's often helpful to experiment with a problem in order to gain an insight as to what the correct answer might be. By necessity, probabilistic experiments require computer simulation of random events. It must sound as an oxymoron - a computer (i.e., deterministic device) producing random events - numbers, in our case, to be exact. See, if you can convince yourself that your computer can credibly handle this task also. A knowledgeable reader would, probably, note that this is a program (albeit deterministic) and not the computer that does the random number simulation. That's right. It's me and not your computer to blame if the simulation below does not exactly produce random numbers.

12. Chance Welcome Page
This data base contains materials designed help teach a Chance course or a more standard introductory probability or statistics course.
http://www.dartmouth.edu/~chance/

Extractions: Welcome to Chance! This site contains materials to help teach a Chance course. Chance is a quantitative literacy course developed cooperatively by the Chance Team: J. Laurie Snell and Peter Doyle of Dartmouth College, Joan Garfield of the University of Minnesota, Tom Moore of Grinnell College, Bill Peterson of Middlebury College, and Ngambal Shah of Spelman College. We were assisted by grants from NECUSE and the National Science Foundation's Undergraduate Curriculum Development Program. The goal of Chance is to make students more informed, critical readers of current news stories that use probability and statistics. Chance News . Chance News is a newsletter that reviews articles in the news that use probability or statistical concepts (chance news). It is aimed at helping the general public better understand current chance news and assisting teachers of probability and statistics who want to liven up their courses by using current chance news. From 1992 to 2004 Chance News appeared on this Chance website. These issues of Chance News are archived here . To make it easier for others to contribute to Chance News, it is now available at the

13. Virtual Laboratories In Probability And Statistics
Interactive, webbased resources for students and teachers of probability and statistics.

14. Probability
Lesson on Introduction to probability Terms and Conditions For Use An experiment is a situation involving chance or probability that leads to results
http://www.mathgoodies.com/lessons/vol6/intro_probability.html

Extractions: Problem: A spinner has 4 equal sectors colored yellow, blue, green and red. What are the chances of landing on blue after spinning the spinner? What are the chances of landing on red? Solution: The chances of landing on blue are 1 in 4, or one fourth. The chances of landing on red are 1 in 4, or one fourth. This problem asked us to find some probabilities involving a spinner. Let's look at some definitions and examples from the problem above. Definition Example An experiment is a situation involving chance or probability that leads to results called outcomes. In the problem above, the experiment is spinning the spinner. An outcome is the result of a single trial of an experiment. The possible outcomes are landing on yellow, blue, green or red. An event is one or more outcomes of an experiment. One event of this experiment is landing on blue. Probability is the measure of how likely an event is. The probability of landing on blue is one fourth.

Contains modules for probability and statistics, discreet math, linear systems and advanced calculus. Developed by the Rensselaer Polytechnic Institute.

16. Probability Tutorials
Tutorials in measure theory, lebesgue integration and probability, by Noel Vaillant

17. Conditional Probability Lesson
Conditional probability lesson from Math Goodies! In the last lesson, the notation for conditional probability was used in the statement of
http://www.mathgoodies.com/lessons/vol6/conditional.html

Extractions: Problem: A math teacher gave her class two tests. 25% of the class passed both tests and 42% of the class passed the first test. What percent of those who passed the first test also passed the second test? Analysis: This problem describes a conditional probability since it asks us to find the probability that the second test was passed given that the first test was passed. In the last lesson, the notation for conditional probability was used in the statement of Multiplication Rule 2. Multiplication Rule 2: When two events, A and B, are dependent, the probability of both occurring is: The formula for the Conditional Probability of an event can be derived from Multiplication Rule 2 as follows: Start with Multiplication Rule 2. Divide both sides of equation by P(A). Cancel P(A)s on right-hand side of equation. Commute the equation. We have derived the formula for conditional probability. Now we can use this formula to solve the problem at the top of the page.

18. Mr. Probability Money Management Systems For Gamblers.
Offers blackjack, craps and video poker money management systems.
http://www.mrprobability.com/