- Messages
- 38
- Reaction score
- 50
- Points
- 28
Ok what i've gathered so far from doing past papers is that:
----> when error bars overlap, there is no significant factor causing a difference in the values (diff due to chance)
-----> when error bars don't overlap, there is a sugnificant difference in values meaning an external or factor other than chance is playing a hand in making the values so different!
Say for example we're investigating the effect of temp on bacteria. (im making this up for explanation purposes)
If error bars for the % of surviving bacteria for temperatures 10 20 30 40 and 50 overlap, this means that at these temperatures, the temperatures have no different effects on the bacteria so we would conclude that NO DIFFERENCE BETEWEEN VALUES. This shows that temperature has no effect.
And you cam hopefully conclude the opposite if error bars didn't overlap.
That the tmperature was having some effect on bacterial survival!
Anyone correct me if i'm mistaken but thats my take on it!
Hope i helped!
Did help a lot! Thank you so much! And do you know how we calculate the bars themselves, like the whole thing with the standard error and everything?