Physics307L:Schedule/Week 10 agenda: Difference between revisions

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==Pushing rough draft due date back one week==
==Pushing rough draft due date back one week==


==(Topic already covered, need new topic) Fitting a line (linear regression, least-squares fit for a line)==
==Binomial Distribution==
===[[/Why linear fit|Why and when linear fit?]]===
:<math>f(k;n,p)={n\choose k}p^k(1-p)^{n-k}</math>
===[[/Linear fit theory|Theoretical background]]===
===Say you are calculating the probability of having k girls in a family with n children.  p is the probability of a single birth resulting in a girl.  f tells you the probability of k girls.===
===[[/Linear fit practice|Practical examples]] (We did this last week)===
:<math>{n\choose k}=\frac{n!}{k!(n-k)!}</math>
====Fitting y = mx + b versus x = m'y + b'====
===[http://en.wikipedia.org/wiki/Pascals_Triangle Pascal's Triangle]===
===[http://pages.cs.wisc.edu/~kovar/hall.html More sophisticated curve fitting...a must read!]===
 
===[http://content.nejm.org/cgi/content/full/353/26/2813 Vioxx example]===

Revision as of 11:13, 27 October 2008


Talk about lab improvisation (Darrell)

Pushing rough draft due date back one week

Binomial Distribution

[math]\displaystyle{ f(k;n,p)={n\choose k}p^k(1-p)^{n-k} }[/math]

Say you are calculating the probability of having k girls in a family with n children. p is the probability of a single birth resulting in a girl. f tells you the probability of k girls.

[math]\displaystyle{ {n\choose k}=\frac{n!}{k!(n-k)!} }[/math]

Pascal's Triangle

Vioxx example