




Central Limit Theorem
Graphic demonstration of the Central Limit Theorem. Use sliders to change shapes of graphs. Two tabs  one to demonstrate nonnormal distributions, one to demonstrate standard deviation of estimations of normal distributions.




Statistics Distributions
Summary document highlighting key features, criteria, examples, notation and equations of the binomial, normal, poisson and geometric distributions. PDF here.




Graphs of Distributions
Dynamic graphs of the binomial, normal and poisson distributions. Use sliders to change values and shapes.












Least Squares Regression Lines
In this task students begin with recapping scatter diagrams before continuing on to find the equation of a least squares regression line. The intention being to make the link as explicit and direct as possible. Answers included. Pdf version.
















Independent Vs NonIndependent
Two tree diagrams to illustrate the difference between probabilitiest of independent events and nonindependent events.




Probability Ofsted
Pupils use logic and combinations to find the probability of extra planning for lessons when Ofsted visits a school. Not easy  most able students only  and definately an openended task that Ofsted would enjoy should they visit the lesson!




Statistics Question Types
Zip file of 4 exam papers plus an Excel file (answer grid) detailing each type of question. Good activity for students familiarise themselves with recognising the types of question.
Print out the exam papers (on different coloured card), cut up each question and ask pupils to match up all the binomials, geomatrics, perms & combs, prob dists, Spearmans ranks etc.




Cakes & Celebrities
A great starter to introduce Spearmans Rank Correlation Coefficient. Print out two sets of cards, cut up and ask two pupils to order them according to preference. Compare pupils orders using Spearmans Rank. For the celebrities suggest 'who would they most prefer to go to dinner with'.












Variance Formula
Variance formula, typed out neatly so you don't have to write it!






