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Since we visualize the aggregates of a bunch of samples, we can compute 95% confidence intervals of those aggregate stats. This would help a lot in gauging how much to trust the results you see.
For example in hist the aggregate stats are the counts (%) in each bin, we can estimate CIs by bootstrap resampling....
The text was updated successfully, but these errors were encountered:
Since we visualize the aggregates of a bunch of samples, we can compute 95% confidence intervals of those aggregate stats. This would help a lot in gauging how much to trust the results you see.
For example in hist the aggregate stats are the counts (%) in each bin, we can estimate CIs by bootstrap resampling....
The text was updated successfully, but these errors were encountered: