enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Independent and identically distributed random variables

    en.wikipedia.org/wiki/Independent_and...

    Roll a die 10 times and save the results into variables , …,. Independent : Each outcome of the die roll will not affect the next one, which means the 10 variables are independent from each other. Identically distributed : Regardless of whether the die is fair or weighted, each roll will have the same probability of seeing each result as ...

  3. Wald's equation - Wikipedia

    en.wikipedia.org/wiki/Wald's_equation

    Roll a six-sided dice. Take the number on the die (call it N) and roll that number of six-sided dice to get the numbers X 1, . . . , X N, and add up their values. By Wald's equation, the resulting value on average is

  4. Joint probability distribution - Wikipedia

    en.wikipedia.org/wiki/Joint_probability_distribution

    Consider the flip of two fair coins; let and be discrete random variables associated with the outcomes of the first and second coin flips respectively. Each coin flip is a Bernoulli trial and has a Bernoulli distribution. If a coin displays "heads" then the associated random variable takes the value 1, and it takes the value 0 otherwise.

  5. Checking whether a coin is fair - Wikipedia

    en.wikipedia.org/wiki/Checking_whether_a_coin_is...

    The practical problem of checking whether a coin is fair might be considered as easily solved by performing a sufficiently large number of trials, but statistics and probability theory can provide guidance on two types of question; specifically those of how many trials to undertake and of the accuracy of an estimate of the probability of ...

  6. Likelihood function - Wikipedia

    en.wikipedia.org/wiki/Likelihood_function

    The likelihood function for the probability of a coin landing heads-up (without prior knowledge of the coin's fairness), given that we have observed HH. Figure 2. The likelihood function ( p H 2 ( 1 − p H ) {\textstyle p_{\text{H}}^{2}(1-p_{\text{H}})} ) for the probability of a coin landing heads-up (without prior knowledge of the coin's ...

  7. Fair coin - Wikipedia

    en.wikipedia.org/wiki/Fair_coin

    A fair coin, when tossed, should have an equal chance of landing either side up. In probability theory and statistics, a sequence of independent Bernoulli trials with probability 1/2 of success on each trial is metaphorically called a fair coin. One for which the probability is not 1/2 is called a biased or unfair coin.

  8. Dice notation - Wikipedia

    en.wikipedia.org/wiki/Dice_notation

    These include whether a specially marked die (called the Mayhem die) has rolled highest, the lowest number rolled, and whether any two dice show the same number. One other commonly used variant of the 6-sided dice roll is the d3, which is a 6-sided die roll, with the result divided by 2. The average result is 2, and the standard deviation is 0.816.

  9. St. Petersburg paradox - Wikipedia

    en.wikipedia.org/wiki/St._Petersburg_paradox

    Intuitively Feller's answer is "to perform this game with a large number of people and calculate the expected value from the sample extraction". In this method, when the games of infinite number of times are possible, the expected value will be infinity, and in the case of finite, the expected value will be a much smaller value.