The difference is in the delivery of the items being apportioned. When a portion is allocated to a recipient, it is virtually reserved for that recipient - but not necessarily delivered to them and may still be held by the allocator. If the portion is distributed, then the recipient has actually received the portion that was allocated to them. This is the difference as determined under U.S. federal tax laws, as I understand it. It should be remembered that an allocation or distribution can be in both directions, i.e. even as assets can be apportioned to recipients, so debts or liabilities can be apportioned to those deemed responsible for them.
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The standard normal distribution is a normal distribution with mean 0 and variance 1.
A simple continuous distribution can take any value between two other values whereas a discrete distribution cannot.
Population distribution refers to the patterns that a population creates as they spread within an area. A sampling distribution is a representative, random sample of that population.
Actually the normal distribution is the sub form of Gaussian distribution.Gaussian distribution have 2 parameters, mean and variance.When there is zero mean and unit variance the Gaussian distribution becomes normal other wise it is pronounced as Gaussian.Wrong! The standard normal distribution has mean 0 and variance 1, but a normal distribution is the same as the Gaussiand, and can have any mean and variance. Google stackexcange "what-is-the-difference-between-a-normal-and-a-gaussian-distribution"