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The difference between randomization and bootstrapping at 7:55 is really helpful
outstanding explanation! really clears things up for me. Nice to see the methods compared and contrasted all in one short video. The graphics help immensely. Thanks!
Thanks a lot, it is incredibly clear and to-the-point.
Wonderful!
Nice work!
I know the non-parametric bootstrap doesn't assume normal distribution of the data, but does it assume equal variances between the two samples?
Thanks sooo much!
Where does the observed difference at ~6:00 come from?
Should an alternative hypothesis be two-sided?
The difference between randomization and bootstrapping at 7:55 is really helpful
outstanding explanation! really clears things up for me. Nice to see the methods compared and contrasted all in one short video. The graphics help immensely. Thanks!
Thanks a lot, it is incredibly clear and to-the-point.
Wonderful!
Nice work!
I know the non-parametric bootstrap doesn't assume normal distribution of the data, but does it assume equal variances between the two samples?
Thanks sooo much!
Where does the observed difference at ~6:00 come from?
Should an alternative hypothesis be two-sided?
Nice work!