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It’s another installment in Data Q&A: Answering the real questions with Python. Previous installments are available from the Data Q&A landing page. If you get this post by email, the formatting is not good — you might want to read it on the site. pmf_and_pdf PMFs and PDFs¶ Here’s a question from the Reddit statistics forum. I met a basic problem in pdf and pmf. I perform a grid approximation on bayesian problem. After normalizing the vector, I got a... Read More Read More
8 months ago

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More from Probably Overthinking It

Algorithmic Fairness

This is the last in a series of excerpts from Elements of Data Science, now available from Lulu.com and online booksellers. This article is based on the Recidivism Case Study, which is about algorithmic fairness. The goal of the case study is to explain the statistical arguments presented in two articles from 2016: Both are about COMPAS, a statistical tool used in the justice system to assign defendants a “risk score” that is intended to reflect the risk that they... Read More Read More

a month ago 23 votes
Confidence In the Press

This is the fifth in a series of excerpts from Elements of Data Science, now available from Lulu.com and online booksellers. It’s based on Chapter 16, which is part of the political alignment case study. You can read the complete example here, or run the Jupyter notebook on Colab. Because this is a teaching example, it builds incrementally. If you just want to see the results, scroll to the end! Chapter 16 is a template for exploring relationships between political... Read More Read More

2 months ago 50 votes
Political Alignment and Outlook

This is the fourth in a series of excerpts from Elements of Data Science, now available from Lulu.com and online booksellers. It’s from Chapter 15, which is part of the political alignment case study. You can read the complete chapter here, or run the Jupyter notebook on Colab. In the previous chapter, we used data from the General Social Survey (GSS) to plot changes in political alignment over time. In this notebook, we’ll explore the relationship between political alignment and... Read More Read More

2 months ago 61 votes
Reject Math Supremacy

The premise of Think Stats, and the other books in the Think series, is that programming is a tool for teaching and learning — and many ideas that are commonly presented in math notation can be more clearly presented in code. In the draft third edition of Think Stats there is almost no math — not because I made a special effort to avoid it, but because I found that I didn’t need it. For example, here’s how I present... Read More Read More

2 months ago 57 votes
Young Americans are Marrying Later or Never

I’ve written before about changes in marriage patterns in the U.S., and it’s one of the examples in Chapter 13 of the new third edition of Think Stats. My analysis uses data from the National Survey of Family Growth (NSFG). Today they released the most recent data, from surveys conducted in 2022 and 2023. So here are the results, updated with the newest data: The patterns are consistent with what we’ve see in previous iterations — each successive cohort marries... Read More Read More

2 months ago 60 votes

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Stem Cells for Parkinson’s Disease

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‘Next-Level’ Chaos Traces the True Limit of Predictability

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4 days ago 2 votes
What Asian Development Can Teach the World

The Magic Development of Taiwan, South Korea, Japan, and China, and What That Tells Us about US Tariffs, China’s Future, EU Protectionism, Japan’s Zombie Debt, Argentina’s Arrested Development, and more

4 days ago 9 votes