Talk:Basic statistics: mean, median, average, standard deviation, z-scores, and p-value


 * It would be helpful to see a proof of the z-score to p-value transform shown graphically at the end of the p-value section. What if the actual integration were shown and the results calculated for each case?
 * this is done in the example, but might be neat to see earlier..
 * a more detailed discussion of the implications of a p-value of <0.05 (maybe a set of numerical experiments) would be helpful.
 * For the p-value case, what about if there are 3 hypotheses vs. just the H1 and H0? This multiple comparison case can be very tricky in a frequentist p-value analysis, but is worth at least mentioning.
 * How should this article be placed in context of random distributions in general? Later we introduce continuous and discrete distributions, but we use them here...

EWA
Should discuss (exponential) weighted averaging more in the sense of historical filtering, VERY useful for accommodating noise in software. For example, new "input" = WT1*previous input (average) + WT2*latest input. Typically 80/20 or so depending on required response.--Billymac00 14:40, 19 May 2008 (EDT)

The definition of "median" in the article is different from what I learned in high school. Has it changed?