Смотреть видео онлайн

Nuclear Physics: "Random Events" 1961 PSSC; Donald Ivey, Patterson Hume, U of Toronto

   
- HD качество

Physical Science Study Committee Films (PSSC) playlist: https://"Professors Donald Ivey and Patterson Hume show how the over-all effect of a very large number of random events can be very predictable, using several unusual games to bring out the statistical nature of this predictability. They explain the predictable nature of radioactive decay in terms of what is shown." Originally a public domain film, slightly cropped to remove uneven edges, with the aspect ratio corrected, and one-pass brightness-contrast-color correction & mild video noise reduction applied. The soundtrack was also processed with volume normalization, noise reduction, clipping reduction, and/or equalization (the resulting sound, though not perfect, is far less noisy than the original). https://en./wiki/Randomness Wikipedia license: (or "trials") is predictable. For example, when throwing two dice, the outcome of any particular roll is unpredictable, but a sum of 7 will occur twice as often as 4. In this view, randomness is a measure of uncertainty of an outcome, rather than haphazardness, and applies to concepts of chance, probability, and information entropy. The fields of mathematics, probability, and statistics use formal definitions of randomness. In statistics, a random variable is an assignment of a numerical value to each possible outcome of an event space. This association facilitates the identification and the calculation of probabilities of the events. Random variables can appear in random sequences. A random process is a sequence of random variables whose outcomes do not follow a deterministic pattern, but follow an evolution described by probability distributions. These and other constructs are extremely useful in probability theory and the various applications of randomness. Randomness is most often used in statistics to signify well-defined statistical properties. Monte Carlo methods, which rely on random input (such as from random number generators or pseudorandom number generators), are important techniques in science, as, for instance, in computational science. By analogy, quasi-Monte Carlo methods use quasirandom number generators. Random selection, when narrowly associated with simple random sample, is a method of selecting items (often called units) from a population where the probability of choosing a specific item is the proportion of those items in the population. For example, with a bowl containing just 10 red marbles and 90 blue marbles, a random selection mechanism would choose a red marble with probability 1/10. Note that a random selection mechanism that selected 10 marbles from this bowl would not necessarily result in 1 red and 9 blue. In situations where a population consists of items that are distinguishable, a random selection mechanism requires equal probabilities for any item to be chosen. That is, if the selection process is such that each member of a population, of say research subjects, has the same probability of being chosen then we can say the selection process is random...

Вы смотрели видео онлайн по поисковой фразе Nuclear Physics: "Random Events" 1961 PSSC; Donald Ivey, Patterson Hume, U of Toronto. Если найденное видео онлайн Nuclear Physics: "Random Events" 1961 PSSC; Donald Ivey, Patterson Hume, U of Toronto Вам понравилось и Вы удовлетворили свои потребности киномана, можете поделиться впечатлениями ниже...

Жизнь в онлайне