Statistics and Probability

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.


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  • 4.10 Spearman's Rank Correlation Coefficient

        Keep track of your progress and practice the exam questions using this document:             The following questions are based on IB exam style questions from past exams. You should print these off (from the document at the top) and try...

  • 4.8 Binomial Distribution

    Binomial Distribution In this chapter we are going to explore probabilities in events where there are only two possible outcomes. This could be success or failure, truth or lies, accuracy or inaccuracy, etc. These particular types of events...

  • 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...

  • Probability

    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 This first section...

  • 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...