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Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text
Dialogue: 0,0:00:00.00,0:00:06.00,Default,,0000,0000,0000,,Let's now apply what we just learned in the context of computing an actual confidence interval.
Dialogue: 0,0:00:06.00,0:00:09.00,Default,,0000,0000,0000,,Suppose I care about 90% confidence and from my coin flips,
Dialogue: 0,0:00:09.00,0:00:17.00,Default,,0000,0000,0000,,I get a data sequence of 5 elements 11000 and let's for now assume you're going to use the T table.
Dialogue: 0,0:00:17.00,0:00:20.00,Default,,0000,0000,0000,,This might not be the world's most accurate method but for now we do this.
Dialogue: 0,0:00:20.00,0:00:24.00,Default,,0000,0000,0000,,Now we've computed the variance many times. I'm just going to give it to you.
Dialogue: 0,0:00:24.00,0:00:33.00,Default,,0000,0000,0000,,This 0.24 and if I knew this five takes the square root of the variance over n is about 0.219.
Dialogue: 0,0:00:33.00,0:00:38.00,Default,,0000,0000,0000,,You compute this so many times, these are just the numbers, but I want you to give me
Dialogue: 0,0:00:38.00,9:59:59.99,Default,,0000,0000,0000,,is the confidence intervals, which is the mean plus or minus the term on the right.