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If you want to know for sure which percentage of the US population has brown eyes, you have to take a look at each person one by one and compile a HUGE list. However, analyzing over 300 million people would be ridiculously expensive, not to mention a logistical nightmare. As such, we settle for the next best thing in terms of accuracy and only analyze a sample of the population. So as a general rule, the population includes everyone, whereas a sample represents a portion of the population that we hope is representative. Its ultimately all a matter of finding the right balance between accuracy and logistics. For example, it might be cheap and convenient to only draw conclusions based on a sample of two, your mom and dad. If both of them have brown eyes, youll conclude 100% of the US population has brown eyes. Needless to say though, this wouldnt exactly be accurate, so you need a larger sample. The larger the sample is, the more accurate the results tend to be but the more expensive
