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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