If random variable (x) takes vales 1, 2, 3, 4 such
that 2 P(x=1) = 3 P (x=2) = P(x=3) = 5 P (x=4)
Find the probability distribution function (PDF) and cumulative distribution function
(CDF), also state the properties of PDF and CDF.
2 P(x=1) = 3 P (x=2) = P(x=3) = 5 P (x=4) =t
Then P(x=1)=t/2, P (x=2)=t/3, P(x=3)=t, P (x=4) =t/5
1=P(x=1) + P(x=2) + P(x=3)+ P(x=4) = t/2+t/3+t+t/5 = 61t/30
Therefore, t=30/61
P(x=1) = 15/61
P(x=2) = 10/61
P(x=3) = 30/61
P(x=4) = 6/61
Probability distribution function (PDF) is
"P(x=t)=\\begin{Bmatrix}\n 15\/61 & if\\ t=1 \\\\\n 10\/61 & if\\ t=2 \\\\\n 30\/61 & if\\ t=3 \\\\\n 6\/61 & if\\ t=4 \\\\\n0 & else\n\\end{Bmatrix}"
Its properties:
1) This PDF takes non-zero values in a finite set of points (discreteness).
2) All values of PDF are non-negative real numbers, not greater than 1.
3) The sum of all non-zero values of PDF equals 1.
Cumulative distribution function (CDF) is "P(x\\leq t)".
If t<1 then CDF(t)=0, because of x does not take any values t<1.
If "1\\leq t<2" then "P(x\\leq t)=P(x=1)=15\/61"
If "2\\leq t<3" then "P(x\\leq t)=P(x=1 \\vee x=2)=P(x=1)+P(x=2)=15\/61+10\/61=25\/61"
If "3\\leq t<4" then "P(x\\leq t)=P(x=1)+P(x=2)+P(x=3)=15\/61+10\/61+30\/61=55\/61"
If "t>4" then "x\\leq t" in any case and"P(x\\leq t)=1".
Finally,
"P(x\\leq t)=\\begin{Bmatrix}\n0 & if\\ t<1 \\\\\n 15\/61 & if\\ 1\\leq t<2 \\\\\n 25\/61 & if\\ 2\\leq t<3 \\\\\n 55\/61 & if\\ 3\\leq t<4 \\\\\n 1 & if\\ t\\geq 4\n\\end{Bmatrix}"
Its properties:
1) CDF takes its values in the segment [0,1].
2) CDF is monotoneously increases everywhere
3) CDF has limits: "\\lim\\limits_{t\\to-\\infty}P(x\\leq t)=0" and "\\lim\\limits_{t\\to+\\infty}P(x\\leq t)=1".
4) CDF is continuous at every point t, such that PDF(t)=0.
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