I'm having some problems understanding this question related to the bootstrap method:

Generate a sample from $\displaystyle X_1,X_2, \dots X_{25}$ from the uniform distrubition on $\displaystyle [0,10]$

We pretend not to know $\displaystyle \theta$ of $\displaystyle [0,\theta]$ (which is in fact 10) and try two estimators for this parameter:

$\displaystyle T_1 = 2\bar{X}$

$\displaystyle T_2 = \frac{(n+1)M}{n}$

To choose between $\displaystyle T_1$ and $\displaystyle T_2$ we are interested in the MSE $\displaystyle E(T_1-\theta)^2$ and $\displaystyle E(T_2-\theta)^2$. We can estimate these by inserting an estimator $\displaystyle \theta$ in the expressions of their expectation value and variance. Determine a $\displaystyle \theta$ based on the data to do this and compare the answers.

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I found the expectation value of both $\displaystyle T_1$ and $\displaystyle T_2$, but I have no idea what is meant by inserting an estimator $\displaystyle \theta$, and how to determine this from a given 25 draws from the distribution. Could someone help me by explaining this?