This post is following of the above post.
I will calculate confidence interval in this post.
There are two ways to calclulate confidence interval, one is bootstrap method and the other is traditional(formula) method.
To do bootstrap, I load infer package.
Firstly, let's to bootstrap.
I made bootstrap distribution of mean.
let's get averge num.
Let's visualize bootstrap ditribution and observed average.
To get confidence interval, I use get_confidence_interval() frunction.
So, with bootstrap method, 95% confidence interval is 8.89 ~ 30.1.
Then, let's calculate confidence interval using traditional(formula) method.
We need some components to calculate confidence interval.
then, I can calculate confidence interval.
Using t.test() function is the easiest way to get traditional confidence interval.
Now, let's compare bootstrap confidence interval and traditional(formula) confidence interval.
I see bootstrap confidence interval is norrower than traditional(formula base) confidence interval.
That's it. Thank you!
Next post is
To raead 1st post,
