Select a representative sample: Selecting a representative sample from your sampling frame is also important for collecting valid and reliable data about the population of interest. For example, if you are sampling from a large database of customer email addresses and only wanted one response per household, you might want to cross-check each email address against mailing addresses and remove duplicates to avoid some households having a greater probability of selection. Then you would likely draw a random sample from the remaining list of email addresses.
They don’t give a reason for this, but I assume it has to do with taxes. You see, if you pay someone $600 in any given year, you are required by law to report that earning and send them a tax form at the end of the year. And since 60,000 equals to $600, I assume they have that rule in place so they don’t have to deal with all that paperwork come tax time.
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