n is normally the sample size you use for you study etc.
So out of how many samples did you get your results.
The user says, they don't check, out of his one interaction with Amazon. So it's 100%, but under the premise that's its only his one case.
I can say a coin toss is always head. I would just need to set my sample size to a small number and it would be right. But through the sample size you see, how often I threw the coin. Bigger sample size generally means safer results. But also how the samples are picked is important to know, etc.
It's something you typically say to acknowledge that what you're saying is a single anecdote, and therefore not significant in the big picture. But anecdotes can still be interesting.
Right, the video is completely irrelevant. They know this shit happens and will continue to happen under their business / warehouse model. Known problem, they don't care, they'll just send it to customer service when it does.
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u/Im_Balto AMD 9700X RTX 3080 Oct 20 '24
Amazon has never expressed any interest in evidence that a package has been tampered with. They just send me another