My statistics class at high school level taught the following:
The number of samples you need is very difficult to calculate correctly, requiring deep analysis of standard deviations and variances.
But surprisingly, you can simply know you've reached large number status when over 10 items exist in each category.
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Ex: when doing a heads vs tails coin flip experiment, you likely have a large number once you have over 10 heads and over 10 tails. No matter how biased the coin is.
Or in this 'Lotto ticket' example, you have a large number of samples after gathering enough data to find over 10 Jackpot winners.
The number of samples you need is very difficult to calculate correctly, requiring deep analysis of standard deviations and variances.
But surprisingly, you can simply know you've reached large number status when over 10 items exist in each category.
---------
Ex: when doing a heads vs tails coin flip experiment, you likely have a large number once you have over 10 heads and over 10 tails. No matter how biased the coin is.
Or in this 'Lotto ticket' example, you have a large number of samples after gathering enough data to find over 10 Jackpot winners.