Uniform Cumulative Distribution
Cumulative distribution
function (fsk) or more concisely the distribution function F for random
variable X is defined as
F(b)=P{X≤b}
or all real numbers b, ∞ <b
<∞. In words, F (b) states the chance that random variable X takes a value
smaller or equal to b. Some properties of f.s.k F are
1. F is a non-encasing function,
meaning that if a <b, then F (a) ≤F (b).
3. 
4. F (b) continuous right, meaning

In
this case lim means the limit for
under the condition that
every
.Character 1 is a result of the fact that if a < b, then the
event {X ≤ a} is included in the event {X ≤ b}, so that it cannot have a
greater. Properties 2, 3, and 4 are all a result of the continuity of
probability. For example, to prove property 2, note that if
, then
events
converge to event {X <∞} (meaning, if
, then lim
. Therefore, based on the nature of continuity of opportunity,
we get.






Evidence
for properties is similar to the above and is provided as an exercise. To prove
Nature 4, note that
, then
. This is a result of the
fact that
for infinite number of n if and only if {X ≤ b} (so,
), likewise,
for all except for the
number n if and only if X≤b (so,
) . So
and the continuity
character produces,







or
So that is proven Nature 4.
All kinds of opportunity
questions about X can be answered based on f.s.k F. For example,
P {a <X ≤ b} = F (b) -F (a)
for all a < b .................. equation 1
This
is most easily seen if the {X ≤ b} event is pronounced as a combination of events
{X ≤ a} and {a < X ≤ b} that set aside each other. In other words.
So that
Which proves equation 1.
If we want to calculate the chance that X is smaller than b, we can also apply the continuity to obtain,
Note that P {X < b} is not always equal to F(b), because F(b) also includes the chance that X is equal to b.
Suppose the function of the random variable X is known as follows,
Calculate (a) P{X<3}, (b) P{X=1},
(c) P{X>1/2}, dan (d) P{2<X≤4}.
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