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Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text
Dialogue: 0,0:00:00.22,0:00:02.79,Default,,0000,0000,0000,,Just to quickly recap, what is the definition
Dialogue: 0,0:00:02.79,0:00:05.90,Default,,0000,0000,0000,,of a non-parametric test? A non-parametric test is
Dialogue: 0,0:00:05.90,0:00:08.38,Default,,0000,0000,0000,,a statistical test that assumes the data is
Dialogue: 0,0:00:08.38,0:00:12.47,Default,,0000,0000,0000,,drawn from a non-parametric probability distribution? Assumes the
Dialogue: 0,0:00:12.47,0:00:15.92,Default,,0000,0000,0000,,data is drawn from a non-Gaussian probability distribution?
Dialogue: 0,0:00:15.92,0:00:17.78,Default,,0000,0000,0000,,Does not assume the data is drawn from
Dialogue: 0,0:00:17.78,0:00:21.84,Default,,0000,0000,0000,,any particular underlying probability distribution? Or is the
Dialogue: 0,0:00:21.84,0:00:25.62,Default,,0000,0000,0000,,same as Welch's t-test? Check the correct answer.