Scientists observe something they don't understand

Come up with a hypothesis (possible explanation)
Test Hypothesis:
- Make a prediction
- Test by gathering evidence
- If evidence, backs up prediction, step closer to finding out if prediction is true
Share findings in peer reviewed journals or at conferences
Peer Review - other scientists test results and explanations to make sure they're reliable
- Helps detect false claims, but not always correct - mistake could just not be obviously wrong
If an experiment doesn't fit with the hypothesis (and others can replicate results), then hypothesis may have to be modified or scrapped
Accepted hypothesis are known as theories
Currently accepted theories have survived 'trial by evidence' - tested many times and survived
Theories are not indisputable fact
- New evidence that can't be explained:
  - Hypothesising and testing starts all over again
A representational model is a simplified description or picture of what's going on
- Can be used to explain observations and make predictions
  - I.e : Lock and key model, which shows how enzymes work, and can be used to explain how enzymes catalyse reactions
Computational models use computers to make simulations of complex processes
- Used when there's lots of different variables
  - Can easily change design to take new data into account
All models have limitations on what they can explain or predict
- i.e. Climate change models can't take into all of the biological and chemical processes that influence climate and it's difficult to include regional variations in climate

	Created by Jessie Howes over 7 years ago

Finished, and used for all sciences for the 9-1 GCSE

Working Scientifically