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Worked Examples · Example 5
Q.

A discrete random variable XX has the probability distribution shown below. Construct its cumulative distribution function (c.d.f.), and use it to find P(2<X≤4)P(2 < X \leq 4).

xix_i1234
pip_i0.10.30.40.2
Tamil Nadu DgeTextbookSubjectiveImportance★★★★★
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Step 1 — build the c.d.f. by cumulative addition:

F(1)=P(X≤1)=0.1F(1) = P(X\leq1) = 0.1

F(2)=P(X≤2)=0.1+0.3=0.4F(2) = P(X\leq2) = 0.1+0.3 = 0.4

F(3)=P(X≤3)=0.4+0.4=0.8F(3) = P(X\leq3) = 0.4+0.4 = 0.8

F(4)=P(X≤4)=0.8+0.2=1.0F(4) = P(X\leq4) = 0.8+0.2 = 1.0

xxF(x)F(x)
10.1
20.4
30.8
41.0

Note that F(4)=1F(4)=1, as required, since XX is certain to be at most its largest value, and F(x)F(x) rises steadily (never falls) as xx increases, exactly as a valid c.d.f. must.

Step 2 — find P(2<X≤4)P(2 < X \leq 4) using the c.d.f. subtraction rule:

P(2<X≤4)=F(4)−F(2)=1.0−0.4=0.6P(2 < X \leq 4) = F(4) - F(2) = 1.0 - 0.4 = 0.6 …

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