prob_dist: motivating height example and Japan age distribution#790
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Rework the opening of the Probability Distributions lecture with two real-data illustrations: - Outline: histograms of US adult male/female heights (NHANES), fitted by a normal distribution, to motivate why a two-parameter density is a useful summary and why we study named distribution families. - Discrete distributions: the fraction of the Japanese population at each age (2024, Japanese nationals) as a first concrete PMF example. Data files are stored under _static/lecture_specific/prob_dist/ and read via relative paths for now; these should move to a canonical datasets repo and be referenced by stable URL once one exists (QuantEcon/meta#336). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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- Credit the Statistics Bureau of Japan for the age data. - Rename the height-fit loop variable data -> sample to avoid shadowing. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Reworks the opening of the Probability Distributions lecture with two real-data illustrations.
Outline — US adult heights
Histograms of male and female heights (US, NHANES 2015–2018), each fitted by a normal distribution whose mean and standard deviation match the sample. This motivates the key idea that ~5,000 numbers can be summarized by a smooth density with just two parameters (μ, σ), which in turn motivates studying named distribution families.
Discrete distributions — Japan age distribution
The fraction of the Japanese population (2024, Japanese nationals) at each single year of age, as a first concrete PMF example where each$x_i$ is a number.
Notes
hide-input) to keep the early narrative visual.us_adult_heights.csv, tidysex,height_cm) is committed rather than the bulky raw NHANES files._static/lecture_specific/prob_dist/and are read via relative paths so this branch builds without amaindependency. Each cell carries a# … see QuantEcon/meta#336TODO to switch to a canonical datasets-repo URL once that exists (see Proposal: a single canonical QuantEcon datasets repository, with a documented convention meta#336).Builds clean locally with
jb build lectures -nW --keep-going.🤖 Generated with Claude Code