In this unit you will learn about different types of data, sampling methods, and the reliability and biases related to these. You will also review different ways to present data as well as calculating measures of central tendency and measures of dispersion. You will calculate the interquartile range and justify the most appropriate measures given particular data sets. Boxplots and cumulative frequency graphs will also be explored. You will then consider bivariate data sets and investiagte the linear correlation of the data. This will include calculating Pearson's product moment correlation coefficient, using scatter diagrams and finding lines of best fit using linear regression methods.

Applications SL and HL students will also investigate Spearman's rank correlation coefficient, whilst developing an awareness of the appropriateness and limitations of this and other measures.

Applications HL students will then further expand on their knowledge by examining the coefficient of determination. They will also look a various reliability and validity tests.

Analysis SL and HL students will use their understanding of linear regression methods to make predictions.

In this unit you will learn about the use of Venn diagrams, as well as the concepts of a trial, outcome, equally likely outcomes, relative frequency, sample space and events. You will calculate the probability of an event and complementary events. You will use Venn diagrams, tree diagrams, sample space diagrams and tables of outcomes to calculate probabilities. You will investigate combined events, mutually exclusive events, independent events and conditional probability.