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Simpson’s paradox: when your aggregate answer is exactly wrong
Imagine you are a data analyst at an e-commerce company. Your team uses two shipping carriers, ExpressSwift and BudgetFlow, and management wants to know which one delivers packages on time more reliab
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Chi-squared tests for categorical data: independence and goodness-of-fit
Many important questions in data analysis involve categories rather than numerical measurements:
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Kolmogorov–Smirnov and friends: goodness-of-fit and two-sample distribution tests
A service can have the same average latency, the same standard deviation, and the same request volume as yesterday—and still deliver a dramatically different user experience.
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Distributions you’ll actually meet: Gaussian, Bernoulli, and the long tail
Most people meet the Gaussian distribution in school, draw a bell curve, and quietly assume that real-world data behaves something like it.
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Distributions in practice: histograms, KDEs, and when the mean deceives
Statistics often starts with a simple question:
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Correlation is not causation, but it’s also not nothing: reading correlation matrices right
A correlation matrix is one of the fastest ways to get a rough map of a numeric dataset.
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Outliers: detect, understand, and only then decide to delete
An outlier is a record that looks unusual relative to other observations. That definition says nothing about whether the record is wrong.
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Topics Everyone Is Talking About No316
The World Happiness Report Faces Serious Methodological Flaws • Exploring Dynamic Array Structures in Depth • Hidden Compiler Magic: How Cutlass Changes CUDATriton Performance • Minimum Viable Benchmark: Practical Evaluation for LLMs
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Topics Everyone Is Talking About No270
Long-term safety confirmed: 4-year mortality data after mRNA vaccination • AV1 wins an Emmy open video codec that transformed the web • LISP Style Design • PostgreSQLs 1600-column limit why more isnt always better