Sampling Distributions Sampling Distributions refer to the
likelihood of getting some value for a particular statistic taken off of
a sample, say the mean or standard deviation. This applet allows
you to see sampling distributions for the mean, standard deviation and
variance for samples of several sizes. (Straight to applet)
Central Limit Theorem The
Central Limit Theory allows us to understand certain properties of means
in samples. This theorem is central to many inferential statistical tests such as
the t-test. This applet illustrates this theory by allow you to
see what happens in a sample of different sizes when you dramatically
change the distribution of the population and the sample size. (Straight
to applet)
Statistical Decision Making
Inferential statistics are guides to decision making about whether
something other than randomness is going on in data collected in a
study. This applet will allow you to play with features of
statistical decision making. (Straight to
applet)