In this slideshow you will learn about data sampling methods, errors in sampling as well as measures of central tendency and dispersion.

In this slideshow you will learn about mode, median and mean as well as how outliers may affect these measures. Using this knowledge, you will begin to justify the appropriateness of each measure. It is important that you also understand how your GDC can assist you in finding each measure.

In this slideshow you will learn about how to find the range, interquartile range and standard deviation. You will also learn how to calculate if a data point is an outlier. It is important that you understand how your GDC can assist you in finding each measure.

In this slideshow you will learn how to accurately construct boxplots and parallel boxplots. You will also recap how to calculate outliers and learn how to represent these visually on a boxplot. It is important that you are confident in calculating statistics and graphing plots on your GDC.

In this slideshow you will learn how to represent data in a cumulative frequency graph. You will also learn how to interpret cumulative frequency graphs, including percentiles.

In this slideshow you will be introduced to bivariate data. You will look at how to construct scatterplots, recap the definitions of independent and dependent variables, and start to describe the relationship between variables.

In this slideshow you will learn about Pearson's product-moment correlation coefficient. You will need to use your GDC to calculate this and be able to interpret it's meaning. Pearson's r is used to assist us in describing the strength and direction of a linear relationship.

In this slideshow you will learn about modelling a line of best fit to linear data. This is an introductory lesson on determining a linear model for bivariate data.

In this slideshow you will learn how to find the equation for the least squares regression line. It is also very important that you are able to interpret the gradient and y-intercept of the regression line in the context of the problem.

Here you will find the notes for the lesson.

In this slideshow you will learn about Spearman's rank correlation coefficient. You will need to be familiar with finding Pearson's on the GDC.