Type II Errors—Counting and Calculating Probability

I have 10 randomly distributed pseudorandom numbers,

r = 10.5 + 1.*randn(1,10);

and I've calculated the t-test over a 95% confidence level

[h,p,ci,stats]=ttest(r,10)

I need to run this 1000 times and identify how many times a type II error is committed. Is there a way to do this in MATLAB?

Lastly I have to calculate the power of the t-test with n=10 against the alternative hypothesis where mu=10.5 (where as the last was 10), I'm not quite sure how to do that. Do I set up another t-test,

[h2,p2,ci2,stats2]=ttest(r,10.5)

and use this somehow?

Thanks.