8. Data Analysis
* Process relevant data for meaningful interpretation of experimental results
* Present data in different types of graphs
* Using statistics and trend lines
Introduction (5 mins)
+ Teacher to ask students how would they analyse their data after collection.
Development (40 mins)
+ Teachers to highlight the awareness that different research methods requires different approaches of analysis.
+ Teachers to highlight the awareness that different research methods requires different approaches of analysis.
+ Students are given some sample data for analysis. These samples will be similar to exam questions on data analysis.
+ Students plot different types of graphs:
(a) Histograms for category data
(b) Curves
(c) Straight line graphs
+ Teachers to introduce to the students basic statistics:
(a) taking averages, standard deviation and error bars.
(b) finding the trend lines
(c) calculate gradient and y-intercepts for straight line graphs
Conclusion (5 mins)
+ Teacher remind students that the knowledge learnt in Physics, Chemistry and Biology are relevant to the ISS data analysis skills. 
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