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Statistical rules of thumb Gerald van Belle
Publisher: Wiley

In terms of the variations – without knowing anything else specific to the site – 2-4 is a good rule of thumb and it's what I see most commonly. (note: I live in CA, so get no money from these Amazon links). (And get a raise.) rain; You implement the winner. None of the three seem to follow the rule with any sort of consistency but they are all in the ballpark of the rule, but not by much. Maybe the ongoing nature of the BP blowout, leading to repeated rebuffs of all those suggestions that aren't likely to work, will teach some of the public that such rules of thumb exist and are useful. Always look at any gee-whiz statistic with skepticism. (From your massive volume of site traffic.) You share the results with your team. Testing A Statistical Rule of Thumb. The numbers will follow but here are some takeaways (I didn't do any statistical analysis, this is just me eyeballing numbers and drawing conclusions that are probably not statistically significant): The rule of thumb is certainly good in terms of rules of thumb, I wouldn't follow it to the ends o f the Earth but it's definitely better than nothing. The marketer does a statistical test of significance and gets a p-value of 0.04 (remember your business stats class here…). A week ago, I showed you the risk profile graph for our 10K Bear portfolio. Haldane cites work on decision-making by the psychologist Gerd Gigerenzer. How can we defend ourselves against the statistical numbers game? As I perused Statistical Rules of Thumb again, as I do from time to time, I came across this gem. (In a day.) You get statistically relevant results. Last week was the worst week for the market in over two months. (And eat some cake.) You win the nobel prize for web genius. Version B Source: Statistical Rules of Thumb by Gerald van Belle; http://vanbelle.org/.