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Re: withlove post# 16391

Wednesday, 06/22/2011 10:22:47 AM

Wednesday, June 22, 2011 10:22:47 AM

Post# of 47856
The two numbers are related. If a survey has an estimated error of ±5% at 95% confidence, it also has an estimated error of ±6.6% at 99% confidence. ±x% at 95% confidence is always ±1.32x% at 99% confidence.

According to statistics, there's about a 50:50 chance that this survey was (in)correct.


The smaller the estimated error, the larger the required sample, at a given confidence level.

at 95.4% confidence:

±1% would require 10,000 people.
±2% would require 2,500 people.
±3% would require 1,111 people.
±4% would require 625 people.
±5% would require 400 people.
±10% would require 100 people.
±20% would require 25 people.
±25% would require 16 people.
±50% would require 4 people.

source:

http://en.wikipedia.org/wiki/Misuse_of_statistics

prof

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