00:01
Once again, welcome to a new problem.
00:03
This time we're dealing with descriptive statistics.
00:06
We're dealing with descriptive statistics.
00:10
And for the most part, if you have a standard normal distribution table, so if you have a standard normal distribution table, then the z -score, whenever you have a mean and standard deviation, is the same as x minus mu over sigma, where the z tells us the number of standard deviations above or below the mean.
01:00
So towards the left from the center, we have negative z -scores, and then towards the right from the center, we have positive z -scores.
01:13
We're looking at a new problem, and in part a, we want to draw a graph with a standard normal distribution and label the different z -scores.
01:26
So in part a, we're going to have a standard normal distribution, and then we'll label different z -scores, so negative 1, positive 1, negative 2, positive 2, and then of course negative 3, positive 3.
01:55
So we just want to make sure that this one gets as close as possible to 3, which is reflective of the entire distribution of data...