Size: 997
Comment:
|
← Revision 3 as of 2011-08-09 21:08:27 ⇥
Size: 383
Comment:
|
Deletions are marked like this. | Additions are marked like this. |
Line 8: | Line 8: |
#acl HlpLabGroup:read,write,delete,revert,admin All:read #format wiki #pragma section-numbers 4 #language en |
|
Line 14: | Line 9: |
Rking6@u.rochester.edu | <<MailTo(Rking6 AT u DOT rochester DOT edu)>> |
Line 17: | Line 12: |
Standard Deviation | [[attachment:HLPlabmeetingnotes2-3-10.pdf]] <<AttachList>> |
Line 19: | Line 16: |
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=[ attachment:HLPlabmeetingnotes2-3-10.pdf |
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 AT u DOT rochester DOT edu>