As far as I understood CLT(Central Limit Theorem) specifies that the means of various samples will be Normally distribution with mean=population_mean and std. dev=population_std_dev/n (where n is size of sample).
- What does CLT tells about distribution of data points/observation within sample (remember every sample has n data points/observations)?
- What does CLT says about relation between sample and population statistics ?
Thanks in advance. Any help is appreciated.