What is the role of repetitions in Central Limit theory? If anyone can explain, intuitively and mathematically. Please refer to the image where one sampling distribution is with 5 reps and another one is with 10K
Std error of mean doesnt get affected i guess since SE = SD/sqrt(n) where n is sample size. Everywhere it is mentioned that n should be large enough.
Sampling repetition and distribution of means
the pic is generated using http://onlinestatbook.com/stat_sim/sampling_dist/