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I'm trying to check wheter my math is in order with my intuition:

Let say i have a random variable $Z \sim Uniform(0,1)$:

If i want to compute: $E[Z \mid Z < a]$ whereas "$E$" is expectation and $0<a<1$:

My intuition tells me that this expectation would be $\frac{a}{2}$ and the math behind is:

Using Bayes theorem i should get an expression for $f(Z=z \mid Z < a)$ (density function):

So later i can write: $E[Z \mid Z < a] = \int_{0}^{a} z f(Z=z \mid Z < a) dz$

So, in order to get $\frac{a}{2}$ as a result from the integral, the only choice is to have $f(Z=z \mid Z < a) = \frac{1}{a}$ but i can't get to this.

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Note that, for any number $z \leq a$

$$ P(Z < z \mid Z < a) = \frac{ P(Z < z \text{ and } Z < a) }{P(Z < a)} = \frac{ P(Z < z) }{P(Z < a)} = \frac{z}{a}$$

So the conditional distribution function (CDF) is

$$ F_{Z \mid (Z < a)}(z) = \frac{z}{a} $$

You can use this to compute the conditional expectation.

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    $\begingroup$ I can take the derivative of the CDF and i would get the conditional density function right? That would be 1/a (because i'm deriving against z) @MattewDrury $\endgroup$ – S. Cow Jun 4 '17 at 20:03
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    $\begingroup$ Yup yes indeed. $\endgroup$ – Matthew Drury Jun 4 '17 at 20:18

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