Hi > On Oct 25, 2014, at 2:18 PM, Magnus Danielson <[email protected]> > wrote: > > > > On 10/25/2014 07:06 PM, Tom Van Baak wrote: >>> In the case of the TimePod, the data can be presented when you have *very* >>> few samples to work with. >>> That said, it is interesting to watch it bring up error bars (which are >>> indeed correctly calculated) >>> and then see the trace walk outside those error bars as the run progresses. >>> There are other measurements that are a bit less susceptible to this. >>> None of them have any magic to get around sqrt(N). >>> >>> Bob >> >> Maybe I don't understand error bars. For a dynamic display like TimeLab, >> walking outside (1 sigma) error bars is expected about 1/3 of the time, no? > > Error bars works a little differently, as they indicate with some probability > (say 1-sigma) within which range the real value is. > > By the way, sqrt(N) is not very accurate estimator.
But it is a common way to express the fact that your data is unlikely to converge any faster than sqrt(N)… Bob > > Cheers, > Magnus > _______________________________________________ > time-nuts mailing list -- [email protected] > To unsubscribe, go to https://www.febo.com/cgi-bin/mailman/listinfo/time-nuts > and follow the instructions there. _______________________________________________ time-nuts mailing list -- [email protected] To unsubscribe, go to https://www.febo.com/cgi-bin/mailman/listinfo/time-nuts and follow the instructions there.
