Week of 1/14/08
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| − | {{ | + | {{PDF|filename=1_14_08.pdf|title=Lecture notes for 1/14/08}} |
| − | + | ===Some simple Mathematica examples=== | |
| − | { | + | x = Table[Random[], {i, 100}] |
| + | ListPlot[x] | ||
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| + | Mean[x] | ||
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| + | Variance[x] | ||
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| + | y = Table[Random[Integer],{i,100}] | ||
| + | |||
| + | z = Table[Random[Real, {10, 11}], {i, 100}] | ||
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| + | {{Mathematica|filename=Centrallimit.nb|title=How coin tossing leads to a Gaussian}} | ||
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| + | {{Mathematica|filename=BasicGaussians.nb|title=Basic Properties of Gaussians}} | ||
[http://www.shodor.org/interactivate/activities/ some useful java applets illustrating probability. Click on probablity.] | [http://www.shodor.org/interactivate/activities/ some useful java applets illustrating probability. Click on probablity.] | ||
Revision as of 17:15, 14 January 2008
 Download Lecture notes for 1/14/08
|
Some simple Mathematica examples
x = Table[Random[], {i, 100}]
ListPlot[x]
Mean[x]
Variance[x]
y = Table[Random[Integer],{i,100}]
z = Table[Random[Real, {10, 11}], {i, 100}]
 Download How coin tossing leads to a Gaussian
|
| Download Basic Properties of Gaussians
|
some useful java applets illustrating probability. Click on probablity.
