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As someone who trained as a statistician, I've always struggled with that title. I love the rigor and insight that Statistics brings to data analysis, but let's face it: Statistics — the name — has always had a bit of a branding problem. Telling someone I was a statistician was more likely to conjure up images of me counting runs at a baseball (or cricket) game than pursuing serious science. And the image of what Statistics ideally is about — collaborative, interactive, applied, fun — was too often subsumed by the stereotype image — isolated, actuarial, ivory tower, report driven. (And hey, even actuaries can be fun sometimes.) That's why I'm a fan of the term "data scientist" — it embodies everything that Statistics always should be, without the baggage and tradition of the term "statistician".
Statistics, statisticians, and data are all the rage in 2013 as we celebrate the International Year of Statistics ! Statisticians are often busy crunching numbers and modeling data, but we were lucky to enough to have Tyler Smith of National University and Jennifer Waller of Georgia Regents University chat with us at the SAS Global Forum about the importance of statistics in the health industry and business in general. Watch these videos to hear their thoughts on statistics: <p style="text-align:right;color:#A8A8A8"></p>
Posted by Laura McLay on May 16, 2012 Many of you have seen The Birthday Problem: Given a group of n people, what is the probability that someone shares a birthday? Here, we are only concerned with birth day and month (not year). The solution assumes that a person is equally born on any of the 365 days in the year, thus ignoring leap years. Let P(n) = the probability that someone shares a birthday in a group of n people and let Q(n) = the probability that everyone has unique birthdays.
Want to make the most of the social web? It's more complicated than just posting status updates at random and seeing what sticks. When is Facebook most effective?
Many marketers have moved past a direct-response-centric model for online display advertising, recognizing that despite low clickthrough rates, banner ads also have a branding effect. And research suggests that adding rich media or video to those banner ads can improve both types of response—increasing the likelihood users will click the ads as well as boosting the lingering brand awareness that results from viewing. Ad solution provider MediaMind found that web users in North America who were exposed to a campaign that included rich media display ads were nearly three times as likely as those who saw only standard banners to end up at a marketer’s website—either by clicking on the ad directly or by navigating to the site at a later date. Those exposed to banners that included online video were about 5.6 times as likely to visit a marketer's site as those exposed to standard banners.
The blog year started in August and consists of 30-something posts. Here is a summary. Quant concepts Strategies A performance step beyond “Economists’ Hubris” points out that random portfolios are a more powerful method of performance measurement than the method that is suggested in the “Economists’ Hubris” paper (though that method is probably pretty good). The volatility puzzle solved?
Box and Whisker Diagrams: The Microsoft Excel 2003 Solution Introduction See also pages two and three in this series for more up to date versions of this page: look at the menu on the left. The updated versions are also explained in fulll in Chapter Seven of my Excel Book: The Excel Project ... Kindle Version