In my previous post, I discussed sampling error (i.e., when a randomly chosen sample doesn’t reflect the underlying population, aka margin of error) and sampling bias (i.e., when the sample isn’t randomly chosen at all), both of which big data advocates often claim can, and should, be overcome by using all the data. In this
All my friends seem to be having twins these days (below is a picture of my friend Holly's twins, for example) - I wondered if I could use SAS to analyze this twinning trend ... When I was growing up, way back in the day, twins seemed to be rarity.
All Analytics spoke with several leaders at the recent SAS Global Forum Executive Conference on what it means to build an analytics culture. Here’s a video of those conversations. The video features several sections related to building an analytics culture: Kim Nevala, Director of Business Strategy for the SAS Best
