[action-translation] resync: stats_examples.md

[mmcky]

Forward Resync: stats_examples.md

Source: QuantEcon/lecture-python.myst — lectures/stats_examples.md
Source commit: 2944402
This PR resyncs the translation to match the current source document.

Reason: The target consistently uses np.random.* functions instead of the rng = np.random.default_rng() / rng.* pattern used in the source code cells. The source defines 'rng = np.random.default_rng()' and uses rng.geometric, rng.negative_binomial, rng.normal, rng.random, rng.exponential, rng.geometric etc., while the target uses np.random.geometric, np.random.negative_binomial, np.random.normal, np.random.rand, np.random.exponential, np.random.geometric instead, and omits the rng initialization line entirely. This is a substantive code logic change (different RNG API usage), not just a stylistic difference, requiring re-translation/update of code blocks.

Changes

Whole-file resync applied. The entire document was resynced in a single pass.

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Created by action-translation forward resync

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[Copilot]

Pull request overview

This PR forward-resyncs the Chinese translation of lectures/stats_examples.md against the upstream lecture-python.myst source commit 2944402, primarily aligning code cells with the rng = np.random.default_rng() / rng.* NumPy Generator API and updating translation metadata/state accordingly.

Changes:

• Added YAML front-matter translation: metadata (title + heading mappings) for the lecture.
• Updated random sampling code cells to use rng = np.random.default_rng() and rng.* calls instead of np.random.* / np.random.rand.
• Added .translate/state/stats_examples.md.yml to record resync provenance (source SHA, date, model, etc.).

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.

File	Description
lectures/stats_examples.md	Resynced lecture content, added translation metadata, and updated RNG usage in code cells to default_rng() / rng.*.
.translate/state/stats_examples.md.yml	Added resync state metadata for translation tooling (source commit/date/mode).

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✅ Translation Quality Review

Verdict: PASS | Model: claude-sonnet-5 | Date: 2026-07-19

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📝 Translation Quality

Criterion	Score
Accuracy	9/10
Fluency	9/10
Terminology	9/10
Formatting	9/10
Overall	9/10

Summary: 翻译整体质量很高，准确传达了原文的统计学概念和数学表达，专业术语使用规范一致，代码注释翻译自然流畅。主要问题集中在'混合离散-连续分布'部分的标点符号使用不一致（英文标点混入中文语境），属于小瑕疵，不影响整体理解和技术准确性。 数学公式和LaTeX代码完整保留，未出现任何符号丢失或格式破坏 专业术语翻译准确，如'累积分布函数'、'概率质量函数'、'几何分布'、'负二项分布'等均符合术语表标准 代码块中的注释翻译准确且符合中文技术写作习惯 YAML frontmatter中的translation元数据正确添加，标题和各级标题映射清晰准确

Suggestions:

• 混合离散-连续分布小故事段落中标点符号使用了英文半角逗号和句号（如'你要么通过要么失败。'前的逗号是英文逗号','而非中文逗号'，'），建议统一使用中文全角标点以保持与文档其余部分风格一致
• 字体导入代码块（FONTPATH等）是翻译中新增的内容，源文档中没有此代码块，虽然这是常见的翻译适配惯例（为支持中文字体渲染），但建议在评估时确认这属于既定的翻译工具链约定而非误译

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🔍 Diff Quality

Check	Status
Scope Correct	✅
Position Correct	✅
Structure Preserved	✅
Heading-map Correct	✅
Overall	10/10

Summary: The target document's structure, section order, and heading-map correctly mirror the source after resync, aside from one extraneous font-setup code addition unrelated to translation sync.

Issues:

• Target introduces an unrelated font-configuration code block (matplotlib font settings for Chinese characters) into the imports cell that has no corresponding change in the English source; this is extraneous content not present in either Before/After source
• Target changes np.random.* calls to rng.* (e.g., rng.geometric, rng.negative_binomial, rng.normal, rng.random, rng.exponential) to match the source's rng-based API, which is a legitimate resync correction, not an issue

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This review was generated automatically by action-translation review mode.