In the two exercises on this page, you will drag leaves to form stem and leaf plots from a list of values. The second exercise creates stem and leaf plots with split stems.
This exercise asks you to drag the final two crosses of a stacked dot plot into the correct places of the display.
The exercises on this page involve drawing box plots from sorted lists of values. For the second exercise, 'outliers' must be separately identified.
In this page, you will draw histograms of different data sets.
The exercises on this page involve matching the shape of box plots to the corresponding dot plots.
The two exercises in this page ask you to use the shape of a histogram to find the proportion of values in a given range. The first exercise shows the number of values in each class, but the second requires the histogram area to be estimated 'by eye'.
In this exercise, you will interpret what distributions with symmetry, skewness, clusters or outliers tell you about the data.
In this exercise, you should summarise the difference between two distributions in terms of their different centres and spreads.
An exercise requests estimates of the mean and median from different skew and symmetric stacked dot plots.
The first exercise asks for a rough 'guess' at the standard deviation of data sets from a stacked dot plot. The second exercise is similar but displays the data as a histogram or box plot.
In this exercise, general knowledge about the type of measurement is enough to roughly guess the value of the standard deviation.
The mean and standard deviation of a data set should give you a good idea of the likely distribution of values. The first exercise in this page asks you to sketch a stacked dot plot to match a given mean and standard deviation. In the second, a histogram should be drawn.
The two exercises on this page ask the effect of combining different groups of values or adding an outlier on the mean and standard deviation.
In this page, you will draw cumulative distribution functions based for various data sets. In the first exercise, the cdf is drawn from the individual data values (displayed as a dot plot); in the second, the values are grouped into classes (as a histogram).
In the two exercises on this page, you should identify which of a set of cumulative distribution functions matches each of a set of dot plots or histograms.
In this exercise, a proportion should be expressed as a percentage, a rate per x values, or a rate of once per y values (return period)
An exercise gives practice at finding proportions from the cumulative distribution function of real climatic data.
This is similar to the exercise on the previous page but asks for a mixture of percentages, rates and return periods.
In this page, two exercises give practice at finding percentiles, again based on the cumulative distribution function of climatic data.
In this exercise, a data set is shown and a question is asked about the proportion of values that are less than a cutoff which is expressed in different units.
The exercise on this page asks for the mean and standard deviation of a data set after linear transformation.
In this exercise, you are asked to identify which of three nonlinearly transformed dot plots correspond to square, log and square root transformations of a data set.