Hypothesis Test with Unknown Distribution i.e. $X_i \stackrel{iid}{\sim} (\mu, \sigma^2)$

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You have the following sample draw X = {34,28,50,102,18,39,90,71,140,19,89,55} of a random variable $X_i$ assume to be iid with finite means and variances. Test $H_o: \mu = 50$ against a one-sided alternative at the 5% level: present the test statistic and its distribution properties, the critical value and the p-value. Prove your claims about the distribution.

I computed the 99% confidence interval (my professor calls the 'asymptotic bands'), by calculating the standard error and what not.

I'm pretty sure I need to use the t-distribution, but while looking this up online, it seems to be for random draws from normal distributions with unknown variances. I'm only assuming a mean, and I know nothing about the distribution of $X_i$.

Can I just say it must asymptotically converge to a standard normal and look up $t_{11,.05}$?