Please find links to key chapters from this area - Statistics, Descriptive and Applications, of the course below. In addition, here is a growing collection of practice questions for you to use as a reviw exercise for the whole unit. Currently there are 5 exam style questions worth 38 marks and should be completed in about 40 minutes, before looking at the solutions.



  • Cumulative Frequency & Box Plots

    This topic is all about these two related tools for helping us look at how a data set is spread out. Learn about filling in cumulative frequency tables, plotting the corresponding curves and using the curves to draw box plots and answer questions...

  • Correlation and Regression

    Description of the concept... The following is a series of slides and videos that will help you understand, learn about and review this sub-topic. Keep track of your progress and practice the exam questions on this ACTIVITY LINK Use these slides...

  • The Normal Distribution

    The normal distribution is a fascinating, naturally occurring phenomenon that has very relevant applications to understanding the world around us. When a data set is normally distributed it has some key properties that allow us to make predictions about th

  • Chi Squared Independence tests

    The chi squared independence tests is a widely used technique for looking for a relationship between variables that are categorical. We can use a scatter graph to look for a relationship between GDP and life expectancy, but what about GDP and...