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There are 13156 Retriever pages mentioning "probably":
  1. Probability
    Note: Probability is a funny thing. Don't expect the numbers from trials to exactly match the predicted results--especially if you run only a few trials. As you run more trials the numbers should tend to get closer to the predictions. After a couple of hundred runs, you should see results that are at least vaguely close to expectations. However, even after thousands of runs you might still see some anomalies.
  2. Probability -- Probability Theory
    Probability is the topic of probability theory, a branch of mathematics concerned with analysis of random phenomena. Like algebra, geometry and other parts of mathematics, probability theory has its origins in the natural world. Humans routinely deal with incomplete and/or uncertain information in daily life: in decisions such as crossing the road ("will this approaching car respect the red light?"), eating food ("am I certain this food is not contaminated?"), and so on. Probability theory is a mathematical tool intended to formalize this ubiquitous mental process. The probability concept is a part of this theory, and is intended to formalize uncertainty.
  3. Probability -- Problems
    In order to prevent problem gambling, Probability complies fully with the requirements of the AGCC and other bodies such as Gamcare. In particular, players are able to self-limit and self-exclude as part of their treatment for a diagnosed gaming addiction. Probability customer service team members are all trained by Gamcare to identify and engage with customers who are showing signs of becoming addicted to gambling.
  4. Probability and Statistics
    Using spinners, your child can practice probability and statistics. Make two spinners that are the same, or use spinners from commercial games. You and your child each spin the spinner 24 times. Each time you spin, compare the results to see if you have a match. Predict how many spins will result in a match. Then do the experiment.
  5. Particle in a Box -- Probability
    In the first animation the motion of the quantum particle is similar to that of a classical particle. The particle oscillates in the harmonic potential. Meanwhile the wave packet expands and contracts periodically. In the second and third animation the particle has zero momentum. The periodic expansion and contraction of the probability distribution reflects the fact that the particle is not in a stationary state of the harmonic oscillator system.
  6. Random Variable -- Probabilities
    To create a random variable from an empirical distribution function, a series (usually a set of residuals) generated by the distribution function must be supplied. This feature is useful for computing bootstrap standard errors. A set of residuals generated by the model is used as input to the DRAW option and a new series with the same distribution as the old one is obtained by drawing observations from a discrete distribution with probability mass equal to one divided by the number of observations placed on each observed value of the residuals. This new sample of residuals may then be used in further computations to obtain estimates of functions of these random variables. To draw without replacement, use the NOREPLACE option.
  7. Probability and Statistics -- Students
    Probability and Statistics are as much about intuition and problem solving as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature. Since the subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well as traditional ones such as insurance, social science andengineering, the authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises with complete solutions, adapted to needs and skills of students. Following on from the success of Probability and Statistics by Example: Basic Probability and Statistics, the authors here concentrate on random processes, particularly Markov processes, emphasising modelsrather than general constructions. Basic mathematical facts are supplied as and when they are needed andhistorical information is sprinkled throughout.
  8. Quantum Mechanics -- Probabilities
    Quantum mechanics describes the instantaneous state of a system with a wave function that encodes the probability distribution of all measurable properties, or observables. Possible observables for a system include energy, position, momentum, and angular momentum. Quantum mechanics does not assign definite values to the observables, instead making predictions about their probability distributions. The wavelike properties of matter are explained by the interference of wave functions.
  9. Probability and Statistics -- Mathematics Institute
    UD's probability group includes Wenbo Li, a well-known expert in Gaussian process theory, and Mason. The statistics faculty consists of, among others, Paul Eggermont and LaRiccia, who are renowned for their work in parametrics, as well as Lydia Rejto and Bob Stark. Recognized for her work on random censoring and survival analysis, Rejto spent the 1998-99 academic year visiting the Mathematics Institute of the Hungarian Academy of Sciences.
  10. Probability and Statistics -- Works
    Many of the classic works in probability and statistics are available on the web. There are links to several of them in the entries below. All the works linked appear on Peter M. Lee's Materials for the History of Statistics site. The site contains many other links as well. The individual with the greatest influence on present day statistical terminology and notation remains R. A. Fisher (1890-1962). Many of Fisher's papers are available from the University of Adelaide Library’s R. A. Fisher Digital Archive.
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