To start, enter data into tables, or import data files. Yenka can also generate randomised data or classic distributions for you, according to your instructions.
Alternatively, use the line-up to generate data with characteristics like age, shoe size and height. Edit each character individually - you could even model your own class.
Visualise averages & other measures
Click a measure (like mean, or a quartile) and it's highlighted on your graphs - and on the line-up.
Alternatively, click on characters in the line-up: they'll step forward, and their data are highlighted in each graph, chart and table.
With your charts, tables and statistics interlinked in this intuitive way, it's much easier to understand how they are related.
Use stem and leaf diagrams, frequency and cumulative frequency polygons, histograms, bar or pie charts to show how your data is distributed.
Scatter graphs let you check correlations, interpolate or extrapolate, while box plots show the five-number summaries.
Add as many graphs as you want; they link automatically to data tables. They also update as soon as you edit data - modelling the effect of your changes.
3D games are an involving way to study probability. Flip coins, roll dice or draw numbered balls from a lottery machine, or test your own probability problems - like pulling coloured socks from a drawer.
Each game has its own probability tree diagram. As you run the game, you'll see the number of times each outcome was reached plotted on the tree.
Study multiple events: roll two dice or flip three coins, and follow the tree diagram to see the probability for each combined outcome.
Click on the probability of one of the branches in your tree diagram, and you can change the probability - so you can load the dice in your favour!
Add a graph - for example, a pie chart or a bar graph - and compare what actually happened in your game with the theoretical probabilities.