Let [x] be the greatest integer not exceeding x.
The probability density function in Example 2.2.1 is given as follows:
f ( x ) = 2 x − 1 1 2 2 f(x) = \frac{2x-1}{12^2} f ( x ) = 1 2 2 2 x − 1
for x=1,2,…,12
The cumulative distribution function (CDF) of a random variable X is defined for any real x is,
F(x) =P(X≤x)
Calculate the cumulative distribution function by using the following table:
X = 1 F ( 1 ) = ( 2 × 1 ) − 1 ( 12 ) 2 = 1 ( 12 ) 2 = ( [ 1 ] 12 ) 2 X = 2 F ( 2 ) = ( 2 × 1 ) − 1 ( 12 ) 2 + ( 2 × 2 ) − 1 ( 12 ) 2 = 1 ( 12 ) 2 + 3 ( 12 ) 2 = ( [ 2 ] 12 ) 2 X = 3 F ( 3 ) = ( 2 × 1 ) − 1 ( 12 ) 2 + ( 2 × 2 ) − 1 ( 12 ) 2 + ( 2 × 3 ) − 1 ( 12 ) 2 = 1 ( 12 ) 2 + 3 ( 12 ) 2 + 5 ( 12 ) 2 = ( [ 3 ] 12 ) 2 X=1 \\
F(1) = \frac{(2 \times 1)-1}{(12)^2} = \frac{1}{(12)^2} = (\frac{[1]}{12})^2 \\
X=2 \\
F(2) = \frac{(2 \times 1)-1}{(12)^2} + \frac{(2 \times 2)-1}{(12)^2}= \frac{1}{(12)^2} + \frac{3}{(12)^2}= (\frac{[2]}{12})^2 \\
X=3 \\
F(3) = \frac{(2 \times 1)-1}{(12)^2} + \frac{(2 \times 2)-1}{(12)^2} + \frac{(2 \times 3)-1}{(12)^2}= \frac{1}{(12)^2} + \frac{3}{(12)^2} + \frac{5}{(12)^2}= (\frac{[3]}{12})^2 X = 1 F ( 1 ) = ( 12 ) 2 ( 2 × 1 ) − 1 = ( 12 ) 2 1 = ( 12 [ 1 ] ) 2 X = 2 F ( 2 ) = ( 12 ) 2 ( 2 × 1 ) − 1 + ( 12 ) 2 ( 2 × 2 ) − 1 = ( 12 ) 2 1 + ( 12 ) 2 3 = ( 12 [ 2 ] ) 2 X = 3 F ( 3 ) = ( 12 ) 2 ( 2 × 1 ) − 1 + ( 12 ) 2 ( 2 × 2 ) − 1 + ( 12 ) 2 ( 2 × 3 ) − 1 = ( 12 ) 2 1 + ( 12 ) 2 3 + ( 12 ) 2 5 = ( 12 [ 3 ] ) 2
Similarly, for the remaining terms, the cumulative distribution function is obtained as,
X = 4 F ( 4 ) = ( [ 4 ] 12 ) 2 X = 5 F ( 5 ) = ( [ 5 ] 12 ) 2 X = 6 F ( 6 ) = ( [ 6 ] 12 ) 2 … X = 12 F ( 12 ) = ( [ 12 ] 12 ) 2 X= 4 \\
F(4) = (\frac{[4]}{12})^2 \\
X= 5 \\
F(5) = (\frac{[5]}{12})^2 \\
X= 6 \\
F(6) = (\frac{[6]}{12})^2 \\
… \\
X= 12 \\
F(12) = (\frac{[12]}{12})^2 X = 4 F ( 4 ) = ( 12 [ 4 ] ) 2 X = 5 F ( 5 ) = ( 12 [ 5 ] ) 2 X = 6 F ( 6 ) = ( 12 [ 6 ] ) 2 … X = 12 F ( 12 ) = ( 12 [ 12 ] ) 2
By the above equations, the cumulative distribution function is represented as,
F ( x ) = ( [ x ] 12 ) 2 F(x) = (\frac{[x]}{12})^2 F ( x ) = ( 12 [ x ] ) 2
Therefore, the cumulative distribution function is,
F ( x ) = { 0 ; x ⩽ 0 ( [ x ] / 12 ) 2 ; 0 < x < 13 1 ; x ⩾ 13 F(x)= \left\{\begin{matrix}
0\;;x\leqslant 0 & \\
([x]/12)^2 \; ;0<x<13 & \\
1 \; ; x \geqslant 13 &
\end{matrix}\right. F ( x ) = ⎩ ⎨ ⎧ 0 ; x ⩽ 0 ([ x ] /12 ) 2 ; 0 < x < 13 1 ; x ⩾ 13
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