
Let's now apply what we just learned in the context of computing an actual confidence interval.

Suppose I care about 90% confidence and from my coin flips,

I get a data sequence of 5 elements 11000 and let's for now assume you're going to use the T table.

This might not be the world's most accurate method but for now we do this.

Now we've computed the variance many times. I'm just going to give it to you.

This 0.24 and if I knew this five takes the square root of the variance over n is about 0.219.

You compute this so many times, these are just the numbers, but I want you to give me

is the confidence intervals, which is the mean plus or minus the term on the right.