Find Expected Value of X(n) from Uniform Distribution

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apalmer3
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I swear that I used to know this.

If you have an independent sample of size n, from the uniform distribution (interval [0,[tex]\theta[/tex]]), how do you find the Expected Value of the largest observation(X(n))?
 
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If [tex]X_{(n)}[/tex] is the maximum in the sample, you first find its distribution. Since you have a random sample of size [tex]n[/tex], you can write

[tex] F(t) = \Pr(X_{(n)} \le t) = \prod_{i=1}^n \Pr(X_i \le t) = \left(\frac{t}{\theta}\right)^n[/tex]

Differentiate this w.r.t. [tex]t[/tex] to find the density [tex]f(t)[/tex], and the expected value is

[tex] \int_0^{\theta} t f(t) \, dt[/tex]