00:01
So this question is pretty important in the sense that we're talking about precision and accuracy in the context of different types of error that we can experience when taking measurements.
00:11
Right.
00:12
So the textbook, actually on page 13 and 14, give a really good example of the difference between random and systematic error.
00:22
And i think i can summarize it pretty quickly here.
00:24
Right.
00:25
So random error means that your measurement has an equal probability, an equal chance of being higher than the average value that you should get or lower than the average value that you should get.
00:40
So random error can be high or low.
00:46
I'll say higher or lower than average value.
00:51
Right.
00:53
So random error is sometimes called human error.
00:56
Right, because humans make, it may seem like you're doing the same thing each trial.
01:02
Let's say you need five trials.
01:04
It may seem like you're doing the same thing each trial, but you might be making very, very tiny mistakes.
01:10
So you may be off a very tiny bit higher or lower than the average value.
01:16
But when you average all five of those trials together, you'll still be really close, if not on the average value.
01:23
Right.
01:23
So let's say that you had to weigh 25 mill liters of water each time and you're filling it up...
