Blog Archives

What is a distribution?

June 16, 2016
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What is a distribution?

This article uses object-oriented programming to explore of one of the most useful concepts in statistics, distributions.  The code is in a Jupyter notebook.You can read a static version of the notebook on nbviewer.ORYou can run the code in a brow...

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Bayesian Statistics for Undergrads

June 14, 2016
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Bayesian Statistics for Undergrads

Yesterday Sanjoy Mahajan and I led a workshop on teaching Bayesian statistics for undergraduates.  The participants were college teachers from around New England, including Norwich University in Vermont and Wesleyan University in Connecticut, as w...

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There is still only one test

June 7, 2016
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There is still only one test

In 2011 I wrote an article called "There is Only One Test", where I explained that all hypothesis tests are based on the same framework, which looks like this:Here are the elements of this framework:1) Given a dataset, you compute a test statistic that...

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Learning to Love Bayesian Statistics

May 18, 2016
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Learning to Love Bayesian Statistics

I did a webcast earlier today about Bayesian statistics.  Some time in the next week, the video should be available from O'Reilly.  In the meantime, you can see my slides here: And here's a transcript of what I said:Thanks everyone for joinin...

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Does Trivers-Willard apply to people?

May 17, 2016
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Does Trivers-Willard apply to people?

Today I am working on another "one-day paper", although this one is a bit of a cheat, since I'm a few hours past the deadline.  Nevertheless, the question of the day is whether the Trivers-Willard effect applies to people.According to Wikipedia, t...

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Probability is hard: part four

May 10, 2016
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Probability is hard: part four

This is the fourth part of a series of posts about conditional probability and Bayesian statistics.In the first article, I presented the Red Dice problem, which is a warm-up problem that might help us make sense of the other problems.In the s...

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Probability is hard: part three

May 9, 2016
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Probability is hard: part three

This is the third part of a series of posts about conditional probability and Bayesian statistics.In the first article, I presented the Red Dice problem, which is a warm-up problem that might help us make sense of the other problems.In the second ...

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Probability is hard, part two

May 6, 2016
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Probability is hard, part two

If you read yesterday's post, you know that my colleague Sanjoy Mahajan and I have been working on a series of problems related to conditional probability and Bayesian statistics.  In the previous article, I presented the Red Dice problem, which i...

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Probability is hard

May 5, 2016
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Probability is hard

For more than a month, my colleague Sanjoy Mahajan and I have been banging our heads on a series of problems related to conditional probability and Bayesian statistics.  We knew when we started that this material is tricky, as demonstrated by veri...

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Stats can’t make modeling decisions

May 3, 2016
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Stats can’t make modeling decisions

Here's a question that appeared recently on the Reddit statistics forum:If effect sizes of coefficient are really small, can you interpret as no relationship?  Coefficients are very significant, which is expected with my large dataset. But coeffic...

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