Lesson 6: Simulation and Predictive Software
Explanations based on experimental evidence allow predictions to be more reliable.
The strength of a conclusion is evaluated from a particular set of data and recommendations based on the experimental evidence and identifying sources of uncertainty in the data.
New Information Presented
Investigating possible sources of error or uncertainty in the data and conclusions that are drawn from the data.
Information sheets entitled Simulation and Predictive software and Sources of Uncertainty
Access Prior Knowledge
Students work through the sheet Simulation and Predictive software
Main point to draw out from students is that simulation and predictive software has to be compared to real experimental data to check that it is accurate.
Students to complete the worksheet Sources of Uncertainty
Class discussion of the sources of uncertainty in the experimental data.