Hello everyone! I can not understand one thing about bootstrap method. Imagine I have a sample of 1000 measures of people's height. But I want to estimate a mean height of all country population. I decided to compute 1000 additional samples via bootstrap method (random choice with replacement) and count their mean values. So, will this sample distribution of sample mean will be normal? I think that not in all situations. So, the second question occurs. How we can find confidence interval? I have seen the variant with counting 2.5 and 97.5 percentiles to find 95% confidence interval.But I can not understand the logic of this process... How the mean value of sample means array will be related to the mean value of general sample if distribution of mean samples is not normal?