00:01
For this problem, to begin, we have that the three different primary measures of variability are the range, the standard deviation, and the interquartile range, or iqr.
00:31
The range is primarily useful when we're dealing with a uniform or roughly uniform distribution, because the range fails to recognize any significant difference between a distribution where we have a significant concentration around a particular value, versus another distribution where we have that the values are distributed just uniformly.
01:02
But we get the most useful information out of the range when we are dealing with something that is roughly uniform.
01:08
For the standard deviation, that is best used when we have a symmetric distribution.
01:18
So we can use it, pardon me, we can use it when we have a uniform distribution, but we most often will use it for a normal distribution, or a roughly bell -shaped distribution, because the standard deviation gives us a good way of understanding the difference between something that is highly concentrated around a particular middle value or mean value, versus something that's more spread out...