As we discussed earlier, we said that any type of calculations done has some level of uncertainty involved with it. This we termed experimental error. Now, we are going to talk about the two exact terms for the different types of errors that commonly occur. We're going to say this first type of error is referred to as an indeterminate error. We're going to say it occurs from uncontrollable variables in an experiment. It can occur at any time in a positive or negative magnitude. But in some instances, you get 9.8 grams. Other instances, you get 10.35 grams. Then you get 9.15 grams. There is no consistency to the values here. They'll be too high by a certain value, too low by a certain value, so there are negative and positive magnitudes. We call this random error.

Now, the next type of error, which is also called determinant error, occurs from a problem with the machinery or a design flaw in the experiment. So it occurs always in the same magnitude, can be corrected, and is reproducible. So let's say you have a weight that's 10 grams and you have a weight that's 12 grams. You weigh the weight that's 10 grams, and you get a reading of 10.05 grams. You know that this standard weight is supposed to weigh 10 grams, but here it is giving us a magnitude that is 0.05 grams too heavy. So, if this is a systematic error, which is the type of error we're dealing with here, then we should expect this 12-gram weight to come out 0.05 grams too heavy. It is consistently giving us the same value, the same magnitude. It is always positive under certain circumstances, or always negative under other circumstances. So there is consistency with systematic error. The beauty of this type of error is that if you can find it, you can remember, all types of measurements have a level of uncertainty associated with them called experimental error. More specifically, we can talk about random error versus systematic error. Knowing this, attend to the example question that's left here below. Don't worry. Just come back and see how I answer that same exact question.