MHB Expected value of a continuous random variable

AI Thread Summary
To find the expected value E(x) of the given piecewise probability density function (PDF), the integral is divided into two parts corresponding to the intervals. The first integral is calculated from 0 to 3 with the PDF f(x) = 1/12, and the second from 3 to 6 with f(x) = x/18. The expected value is computed as E{X} = (1/12) * ∫(0 to 3) x dx + (1/18) * ∫(3 to 6) x² dx. A user acknowledges a potential calculation error after attempting the integration. Accurate calculations are essential for determining the expected value correctly.
rayne1
Messages
32
Reaction score
0
Given the PDF:

f(x) = 1/12 , 0 < x <= 3
x/18, 3 < x <= 6
0, otherwise

find the expected value, E(x).

I know how to find the expected value if there was only one interval, but don't how to do it for two.
 
Physics news on Phys.org
rayne said:
Given the PDF:

f(x) = 1/12 , 0 < x <= 3
x/18, 3 < x <= 6
0, otherwise

find the expected value, E(x).

I know how to find the expected value if there was only one interval, but don't how to do it for two.

The integral can be devided in two integrals as follows...

$\displaystyle E \{X \} = \frac{1}{12}\ \int_{0}^{3} x\ d x + \frac{1}{18}\ \int_{3}^{6} x^{2}\ dx\ (1)$

Kind regards

$\chi$ $\sigma$
 
Last edited:
chisigma said:
The integral can be devided in two integrals as follows...

$\displaystyle E \{X \} = \frac{1}{12}\ \int_{0}^{3} x\ d x + \frac{1}{18}\ \int_{3}^{6} x^{2}\ dx\ (1)$

Kind regards

$\chi$ $\sigma$

Oh I did try that, so then I must have made a calculation error.
 
I was reading a Bachelor thesis on Peano Arithmetic (PA). PA has the following axioms (not including the induction schema): $$\begin{align} & (A1) ~~~~ \forall x \neg (x + 1 = 0) \nonumber \\ & (A2) ~~~~ \forall xy (x + 1 =y + 1 \to x = y) \nonumber \\ & (A3) ~~~~ \forall x (x + 0 = x) \nonumber \\ & (A4) ~~~~ \forall xy (x + (y +1) = (x + y ) + 1) \nonumber \\ & (A5) ~~~~ \forall x (x \cdot 0 = 0) \nonumber \\ & (A6) ~~~~ \forall xy (x \cdot (y + 1) = (x \cdot y) + x) \nonumber...

Similar threads

Back
Top