content-type: multipart/related; boundary="----=_NextPart_01CA5DFB.DA85D9A0" mime-version: 1.0 This document is a Single File Web Page, also known as a Web Archive file. If you are seeing this message, your browser or editor doesn't support Web Archive files. Please download a browser that supports Web Archive, such as Windows® Internet Explorer®. ------=_NextPart_01CA5DFB.DA85D9A0 content-location: file:///C:/D0F645D3/normaldistributionlinks.htm content-transfer-encoding: quoted-printable content-type: text/html; charset="us-ascii" Normal Distribution Links

Probability theory: Roll the virtual dice to visualiz= e the probabilities of different numbers coming up

http://www.stat.sc.edu/%7Ewest/javahtml/CLT.html

 

 

Standard normal distribution: Not that changing the m= eans slides the whole curve left or right.&nbs= p; A taller peak does not signify a larger mean..

http://www.stattucino.com/berrie/dsl/index.html

 

standard normal distribution: Use the sliders to see = how changing the mean and standard deviation affect the shape of the curve

http://www-stat.stanford.edu/~naras/jsm/NormalDensity/NormalDensit= y.html

 

“ball drop” animation: As sample size inc= reases, the distribution of scores approximates a normal curve

http:= //webphysics.davidson.edu/applets/galton/balldrop.html

 

http://javaboutique.internet.com/BallDrop/

 

standard normal distribution: Click the “animated” button to obtain a sample from the distribution of scores.  Change the N to see = what larger samples look like

h= ttp://www.ruf.rice.edu/~lane/stat_sim/sampling_dist/index.html

 

Central limit Theorum: As sample size increases, the distribution becomes closer and closer to a normal curve.

= http://bcs.whfreeman.com/ips4e/cat_010/applets/CLT-Binomial.html

 

T-test applet: enter two sets of scores to see if the= two sets are significantly different from each other

http://www.bio.miami.edu/rob/Students_t.html

 

http:= //www.chem.uoa.gr/applets/AppletTtest/Appl_Ttest2.html

 

http://= www.ruf.rice.edu/~lane/stat_sim/one_way/index.html

 

 

Chi-square illustration

 

http://math.hws.edu/javamath/ryan/ChiSquare.html

 

http://www.= stat.tamu.edu/~west/applets/chisqdemo.html

 

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