#C7.IaS3.1
use ideas about correlation and cause to:
a) identify a correlation in data presented as text, in a table, or as a graph
b) distinguish between a correlation and a cause-effect link
c) suggest factors that might increase the chance of a particular outcome in a given situation, but do not invariably lead to it
d) explain why individual cases do not provide convincing evidence for or against a correlation
e) identify the presence (or absence) of a plausible mechanism as reasonable grounds for accepting (or rejecting) a claim that a factor is a cause of an outcome
#C7.IaS3.2
describe and explain examples of scientific methods and theories that have developed over time and how theories have been modified when new evidence became available
#C7.IaS3.3
describe in broad outline the ‘peer review’ process, in which new scientific claims are evaluated by other scientists
#C7.IaS3.4
use a variety of models (including representational, spatial, descriptive, computational and mathematical models) to:
- solve problems
- make predictions
- develop scientific explanations and understanding
- identify limitations of models