The Birthday Paradox
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There’s a paradox in statistics that states, in a group of 23 people, the chance that two people having the same birthday is 50%.
statistics
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Playing the Lottery
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There are 259 million possible ticket number combinations for Powerball. What are the chances two people will win with the same numbers?
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Server-side Analytics through Google
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Some of the products I build for the web don’t come with a website. But I can still use Google Analytics to track their usage. Thanks to a handy PHP library I found on GitHub, I now have the luxury of tracking the execution of server-side scripts in the same analytics dashboard I use to…
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Bayesian Statistics – Conclusion
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People groan whenever I bring up statistics in relation to marketing theory. In reality, though, most marketing decisions are made based on numbers. Without some level of smart statistical analysis, you can’t make an informed decision based on your data and all of those research dollars are wasted. Given, the case study I posted yesterday
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Bayesian Statistics – Part IV
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Understanding the Bayesian average is one thing. Understanding how to calculate it is something different. Understanding how to apply it is something in a whole other league. So here’s a quick and simple case study regarding product feedback and comparing aggregate product ratings using Bayesian statistics. Situation Your widget factory produces three different widgets and
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Bayesian Statistics – Part III
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A traditional average is easy to understand. If you take a group of people, add their heights together and divide by the number of people in the group, you know the average height. A simple average is a relatively easy way to create a prediction for future behavior – in many cases, you can reasonably
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Bayesian Statistics – Part II
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Most statistics are based on solid, static data. The average for a group of numbers is independent of what numbers are actually included in the group. Statistics give us a snapshot of our data so we can make high-level decisions based on it without knowing the details of each discrete measurement. This simplicity makes statistics
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Bayesian Statistics – Part I
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In our careers as marketers we are often presented with problems that require some kind of statistical analysis. One of the most frequently-faced issues is that of content or quality ratings. Let’s say your company produces 5 different widgets. You ask 100 of your customers to rate these widgets and ask them to rate all
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Statistical Relevance
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I know, I’ve already lost half of you. And the other half that’s still hanging on is waiting patiently for me to start throwing formulae at you. But that’s not going to happen. I do want to point out, though, that while statistics are monotonous, boring, and somewhat difficult to understand they are one of