Random variable and probability distribution is very common
terms OS statistics which help in advance or higher level OS statistics
concepts. Suppose the outcomes of the trial of a toss of coins were expressed
in terms of the number of heads showing this number of heads by the letter
capital H, we can find that in the example, H will have values of 0, 1, 2 and 3
and corresponding to every value of head, a probability is related. This
uncertain real variable H, now which considers many different numerical values related
upon the outcomes of an experiment, and to each one of whose values or variable
a probability assignment may be made, is defined as a random variable.
Statistics Assignment Help clears that the resultant
representation of all the values of variable with their probabilities is called
as the probability distribution of head variable H. It is sure that H takes
only discrete values no breakup values, the variable head H is define a
discrete random variable and the resulting distribution from this value is a
discrete probability distribution.
We have now understood that the random variable gets a
limited number of values only. There are certain situations can be where the
variable of experiment can take infinitely many values. Suppose for example
that we are interested in ascertaining the probability distribution of the
weight of the one kilogram of tea pack that is developed by certain company. We
may have reasons from Statistics assignment help to believe that the packing method
is such that the weight machine produces a certain percentage of the packs somewhat
below one kg and some above one kilogram.
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