The aim of this activity is for students to acquire a feel for what a probability distribution is : that it is abstract and though sample data often follows the theoretical distribution more closely the larger the sample size it isn't compelled to do so. It's just a rare event when it doesn't.
Additionally, at Stage 4 students mostly calculate only individual probabilities and it is helpful to also draw attention to the profile of probability across the complete range of values for our variable of interest.
The 'copy to clipboard' facility collects data. Ask students to collect ten sets of data (ten times 100 throws) pasted into Excel.
Keep a data set that has the samples separate and another one which forms a combined sample. These two are to be compared.
Draw the frequency distribution (or relative frequency) distributions for the first 100, the first 200, then 300 and so on.
Encourage students into commenting on the graph for each of these and help them to explain what they observe until this example of randomness has begun to become secure.
After the samples have been collected and accumulated :