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This simulation studies the connection between smoking and life expectancy. In each experiment you look at two groups of 100 young people aged 15 years. The simulation predicts at what age a person from the group will die. The data input for this program is taken from scientific research into the effects of smoking on public health.
Simulation You see the results of the simulation on a stem plot. In the stem plot, the people who died of the effects of smoking are colored in red. The results of the simulation are summarized in a table. The results of all the experiments taken together are also summarized.
Graph Smoking different numbers of cigarettes changes the life expectancy. The differences can be studied with the aid of life expectancy graphs. In such a graph you see the relationship between age and the percentage of people expected to be still alive. You can decide which graph you wish to see.
Settings and buttons Tempo bar With the tempo bar you can change the speed of the simulation before and during the simulation. With Step you can track the experiment step by step. Fast is designed to enable you to create lots of data.
Interrupt/continue With the space bar you can interrupt or resume the simulation.
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