case: (Default)
Case ([personal profile] case) wrote in [community profile] fandomsecrets2024-05-05 03:56 pm

[ SECRET POST #6330 ]


⌈ Secret Post #6330 ⌋

Warning: Some secrets are NOT worksafe and may contain SPOILERS.


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Notes:

Secrets Left to Post: 02 pages, 29 secrets from Secret Submission Post #905.
Secrets Not Posted: [ 0 - broken links ], [ 0 - not!secrets ], [ 0 - not!fandom ], [ 0 - too big ], [ 2 - repeat ].
Current Secret Submissions Post: here.
Suggestions, comments, and concerns should go here.

Re: Let's talk numbers

(Anonymous) 2024-05-06 12:00 pm (UTC)(link)
There is such a thing as a sample that's too small, but after *n* gets above a few hundred, what really matters is whether it's representative of the general population.

Let me give you a quick and easy US-based example:

You've managed to get a whooping 50 million respondents to your poll. However, nearly all of them are white, Republican-leaning men.

Your competitor gets only 1000 respondents to her poll. However, she carefully selected her respondents, making sure that the demographics of her sample roughly match those of the broader US: i.e. the sample is about 50/50 male/female; a third identify as Democrats, a third as Republicans, a third as independent or something else; 12% are Black; 7% are LGBT; etc. She also solicited respondents from each region of the country.

Of these two polls, which is likely to be more accurate?