MIME-Version: 1.0 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 visualize= the probabilities of different numbers coming up

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

 

 

Standard normal distribution: Not that changing the me= ans slides the whole curve left or right.  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 h= ow changing the mean and standard deviation affect the shape of the curve

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

 

“ball drop” animation: As sample size incr= eases, 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 w= hat larger samples look like

ht= tp://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.

h= ttp://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://w= ww.ruf.rice.edu/~lane/stat_sim/one_way/index.html

 

 

Chi-square illustration

 

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

 

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