Treatments are a kind of variable…each varies along a distance or curve
Continuous data has not ends, no gaps, can point, or be numerical
Other variables can be treatments like our experimental treatment and control treatment which is not continuous. These variable are categorical.
A control treatment doesn’t have changes (is constant). You have a baseline to judge the treatment against. In our example a single snail with:
1. Normal flow
2. Normal temperature
3. As much food as it wants
4. That’s constantly submerged
5. No experimental damage to its shell
You can change one variable and analyze that…one control and one variable.
When there is too much error you can’t tell the difference.
What error metric is applied and how to interpret it.
Part of collaboration in science is learning from our mistakes.
Hypotheses
An educated guess
Prediction
The kind of idea you can test
with a single experiment
A single article
A paper in a journal
Theories
libraries
Many, many hypotheses
tested, rejected, accepted
A scientific framework
Explains a body of previous observations
They can change
Science: truth without certainty
Everything results in more tests
There is still uncertainty that what we do is incorrect
Theories do not provide absolute truth
No comments:
Post a Comment