[Script Info]
Title:
[Events]
Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text
Dialogue: 0,0:00:00.01,0:00:05.09,Default,,0000,0000,0000,,>> Here's another way to look at it. Let's say you have a bag of jellybeans.
Dialogue: 0,0:00:05.09,0:00:10.79,Default,,0000,0000,0000,,There's only one licorice, but there are four strawberries and four blueberries.
Dialogue: 0,0:00:10.79,0:00:16.32,Default,,0000,0000,0000,,There's also only one cherry and two lime, or lemon, I don't know, you decide.
Dialogue: 0,0:00:16.32,0:00:21.66,Default,,0000,0000,0000,,If we take a sample of, say, four Jelly Bellies, most likely, we're not going to
Dialogue: 0,0:00:21.66,0:00:26.93,Default,,0000,0000,0000,,get the licorice one. Say we just get these in our sample. This sample doesn't
Dialogue: 0,0:00:26.93,0:00:32.13,Default,,0000,0000,0000,,show the whole range of Jelly Belly flavors that we have, including cherry and
Dialogue: 0,0:00:32.13,0:00:37.12,Default,,0000,0000,0000,,licorice. So our sample underestimates the variability in our Jelly Belly
Dialogue: 0,0:00:37.12,0:00:42.20,Default,,0000,0000,0000,,population. Hopefully, this example lends a little more insight into why we
Dialogue: 0,0:00:42.20,0:00:47.01,Default,,0000,0000,0000,,divide by n minus 1 when calculating the standard deviation of a sample. But
Dialogue: 0,0:00:47.01,0:00:51.94,Default,,0000,0000,0000,,please let's discuss it in the forums. There, we could go into a lot more depth.
Dialogue: 0,0:00:51.94,0:00:56.34,Default,,0000,0000,0000,,For the purposes of this class though, as long as you have a basic intuitive
Dialogue: 0,0:00:56.34,0:01:01.39,Default,,0000,0000,0000,,understanding of the difference between sample standard deviation and population
Dialogue: 0,0:01:01.39,0:01:03.93,Default,,0000,0000,0000,,standard deviation, then you'll be fine.