00:01
The first thing that i'm going to note here is that i am missing the graph that is intended to accompany this problem.
00:07
So i'll be doing as much as i can without it.
00:11
So the first thing that i'll note here is that we're asked, what does one dot represent? well, if we're looking at a sampling distribution, a sampling distribution, then one dot, one dot is going to represent the mean value of a sampling distribution.
00:37
For example, sized 50, or size 50.
00:50
For part three, where you're asked to estimate the mean, i really can't do that without having the original graph.
01:00
So i'm just going to skip over that one.
01:04
For part four, so we're asked, and this is another one where, one second here, this is another one where i can't give an exact answer without having the original graph.
01:17
But generally speaking, for asked how likely is x equals something rather, specifically we're told x equals 55 .6 here, the way that we would want to approach this would be if we're looking at our sampling distribution, we would expect that we'd have something that is approximately normal.
01:43
So we might have, let's see here.
01:51
If we have a sampling distribution like this, then for figuring out how, how likely is a particular result? the main question is, how far from the mean is it? we also need to note that if we're looking for probability that a sample mean equals an exact value, we would typically expect that to be pretty small.
02:26
Because when we have a distribution like this, for instance, here with the way that i've drawn this, we can see that we'd be able to figure out the probability of any particular result just by taking the height of that column of dots and dividing it by the total number of dots.
02:45
But generally speaking, if you're looking for a very specific value, i'll put it this way.
02:54
If you're looking for a very specific value, it's going to really depend on the resolution of the information that you're dealing with...