Pearson Distribution

Name: Pearson Distribution
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Bol Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory, a probability distribution is called continuous if its cumulative distribution function is continuous[citation needed]. This is equivalent to saying that for random variables X with the distribution in question, Pr[X = a] = 0 for all real numbers a, i.e.: the probability that X attains the value a is zero, for any number a. If the distribution of X is continuous then X is called a continuous random variable.

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory, a probability distribution is called continuous if its cumulative distribution function is continuous[citation needed]. This is equivalent to saying that for random variables X with the distribution in question, Pr[X = a] = 0 for all real numbers a, i.e.: the probability that X attains the value a is zero, for any number a. If the distribution of X is continuous then X is called a continuous random variable.

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