Statistical
diagrams: frequ./frequency density; frequency polygon, cumulative
frequency;
box & whisker plot; dot plot
Data
measurements: frequency or probability by area (histogram)
x, F, quartiles, median (cum. frequency) all limits moved dynamically 

Sampling
methods: single or multiple samples from a data set dotplot
of distribution of sample means; central limit theorem demonstrated.
Discrete
probability distributions: rectangular, binomial, Poisson,
geometric, user binomial (n, p) and Poisson. Parameters can be
animated
Continuous
probability distributions: rectangular, normal userdefined:
any f(x) can be entered normal parameters (m, sē) can be animated. 

Probability
measurements:
probability, cumulative probability; inverse calculations (continuous
distributions)
Best
fit binomial/Poisson/normal to data set; Poisson/normal fit
to binomial (animated)
Text
options: table of probabilities; table of statistics; stem
and leaf (in results box: can be copied and pasted out) 

'AUTOGRAPH
EXTRAS'
classroom demonstrations
1. Area of circle demonstration
2. Trigonometry demonstration
3.
MonteCarlo simulation
4.
Confidence intervals
5. 1, 2, ndice simulations
6. Poisson grid 
