Omg thank you so much i have my exam this morning and this question is worth 6marks i was nearly about to give up and just lose the marks but your video has helped me so much thank you!!!
@MA-tr4pe5 жыл бұрын
Jameela it’s 6am my exam’s at 9am and this is what i’ve come down to
@KC-hx5pl6 жыл бұрын
Great video nice, clear and short unlike others on KZfaq amazing content thank you very much.
@malikibrahimkhan22517 жыл бұрын
thank u brother..i have my exam tommorow....its a relief!
@invictus82463 жыл бұрын
how did the exam go?
@grilledpikachu6 жыл бұрын
Thank you soooooo much😊, I have an exam tomorrow
@alekseistaroko11703 ай бұрын
Thanks you so much dude! Gonna have As exam today
@subhaylovepunk8 жыл бұрын
thank you helped me alot ........ keep up the good work
@blazeit49056 жыл бұрын
Sir I have my paper 33 tommorow.I wanted to ask you is it necessary to write the uncertainty in the instrument along with readings in q1?.And do we right readings with stopwatch to 2 d.p because uncertainty is +- 0.01s ?.Pls if you can answer will be greatly appreicated.
@abdallahyossef35396 жыл бұрын
ti got an exam tomorrow like u as well,but time is measured to 1d.p and if in a calculation so s.f. is ur concern
@saymajahan55067 жыл бұрын
Y intercept also has a unit ri8? Then -0.919 m?
@alank12468 жыл бұрын
When plotting error bars, do you plot the absolute uncertainty or the percentage uncertainty? If you could make a video on plotting error bars etc. that would be most helpful. Thanks
@erhansukrucengiz56633 жыл бұрын
Appreciated!
@ckampeta6 жыл бұрын
what about exponential curves
@nicklol78785 жыл бұрын
use log function
@malikibrahimkhan22517 жыл бұрын
hey is there any video for the tables?.....my friend has a problem in tables
@alexlawrence13378 жыл бұрын
Should you be taking your lowest Y value as outside of your data set? Your triangle for the gradient extends beyond the points you've plotted which I've been taught as something to avoid doing, as I will lose a mark for my graph.
@kylemcclean73158 жыл бұрын
+Alex Lawrence Generally once the line of best fit has been drawn on, which usually stretches beyond the data points, values like the gradient are found using points on the line, rather than the data points, and at least for my exam board, you lose marks for using data points if the line is clearly visible, with the exception of (0,0) Sorry for a block of text on a month old comment; hope it helps either way. :)
@alexlawrence13378 жыл бұрын
No I'm well aware of this
@alexlawrence13378 жыл бұрын
It's that my teachers have taught me not to take points on the line that extend beyond my data set's boundaries