I think with working scientifically, these are just the main things
- just make sure you revise the validity, reliability, accuracy, etc (able to come up with methods to increase every, and be able to distinct from one another, i.e. how repeating data isn't increasing reliability, its only assessing it. you could have a high reliability -closeness of the values- but poor accuracy - far from the accepted values. )
- linearisation of data (this one's relativity simple if you take maths)
- dependant, independent, controlled variables etc should be pretty simple
- graphing line of best fit, labelling axis with correct units, removing outliers etc
- Using gradient to calculate stuff. Rearranging equations to fit in gradient etc
If you know and revised all of these, you should be set with most questions (this was kinda my list I looked at before I sat my trials and this got covered)
Might have missed some though cus this was just on the top of my head