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Standard Deviation
 
S = sqrt(sigma(x-xbar)^2)/(n-1))

There are two types of standard deviations
1. Population
2. Sample
 
Distance from std deviation determines likelyhood of something being accurate
 
 
Hypothesis testing

null hypothesis.
Compare your p value to the chi squared. If p is greater than the chi squared, then you cannot reject the null hypothesis. Often times, this is the case
 
How do you know how many people you need to sample so as to get results that are statistically significant?

n=[

 

Statistics Review

Here are the main points we learned in our stats lesson today. If you need to ask more technical questions, please contact: Rking6@u.rochester.edu

attachment:HLPlabmeetingnotes2-3-10.pdf

Statistics (last edited 2011-08-09 21:08:27 by echidna)

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