00:01
For the first exercise, we were asked if weight, monthly salary, and number of items purchased in a week are continuous or discrete random variables.
00:13
Recall that a continuous random variable is a variable that can take on any value within some range, so therefore there are an infinite number of values that may be assumed.
00:25
So weight is an example of a continuous random variable.
00:27
I mean you could weigh 100 pounds or you could weigh 101 pounds or 100 .5 pounds or 100 .238 pounds.
00:39
There's no end to the precision that you can specify for the variable of weight.
00:44
So that's continuous.
00:47
The monthly salary, generally this is considered continuous as well.
00:53
It's a bit tricky because if you say okay we're only counting salaries to the cent so therefore therefore there are only a distinct number of outcomes that can be assumed.
01:05
Values to the whole cent.
01:08
So the second one is a bit of, say, a trick question, because you could count it discrete.
01:16
If you count it to the nearest whole cent, then salaries are a countable set of numbers, which would be a discrete random variable.
01:24
So one thing you could do is check to see whether salary can be considered any value over the range of salaries, or if it has to be counted in dollars and cents.
01:34
The last one is the number of items that carrie purchased in a week...