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Sample Size Neglect

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Small samples can lead to the incorrect assumptions. And big samples most likely neutralize factors that may influence smaller samples. In other words the more evidence you have the bigger probability that you get correct assumptions from it.

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== The first issue ==

Русская версия доступна тут: umneem.org/mrp/7

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Comments11
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MisterJones4899's avatar
1 ab: Oh, it looks like a good choice.  Four out of five questioned farmers recommend...

1 d: (No change)


2 d: (nc)

2 ab: (nc)

2 d:  In that case, five farmers is too small of a sample size to confirm usefulness of the fertilizer.


3 ab:  Trusting the survey depends on the number of ponies in it, right?

3 d: (nc)


4 ab:  Aha, and if only five were asked, they might be growing something other than apples, so their endorsement wouldn't apply to our use.

4 d: (nc)


Hope this helps.