1D Statistics and probability
Data Sets and Groupings
 Data entered as either raw or grouped
 Continuous or discrete data
 Transform a data set
 Dynamicly change class width on grouped data
Generate data from probability distributions:
Representations of data
 Histograms including frequency density
 Cumulative Frequency diagrams
 Box and whisker diagrams
 Dot plots
 Mean and three standard deviations
 Line graph
 Moving average
 Stem and leaf
 Statistics box with set size, mean, standard deviation
 Table of statistics and tabulated values
Operations with data sets
Measurments of histograms and cumulative frequency diagrams Sample from data sets, demonstrating the central limit theorem
Probability distributions
 Plot and sample from
 Rectangular (discrete or continuous)
 Binomial
 Poisson
 Geometric
 Normal
 User defined, continuous or discrete
Measurments and hypothesis tests fitting to data/ fit dependent
2D Graphing
Shapes and transformations Shapes either from a set of points or from a list of presets. Transformations including

Numerical integration. Rectangle, trapesium and Simpson's methods. Animated the number of divisions. Tangents and normals Plot tangents and normals to curves; evolute draws these in many places along the curve, often leading to striking shapes. Scatter graphs

Three dimensional graphing
Points as the basis of objects Form objects including:
Shapes Either form shapes from joined triangles or select from a list of preset shapesTransform shapes:
as well as arbitrary matrix transformations. Vectors Vectors created from points or entered in Cartesian form. Add, subtract, copy, vector and scalar products. 
Lines and planes Lines and planes from points, vectors or equations. Intersection of:

Extra features for the classroom

