Practical Statistics with Python — Companion Course Case Study — v0.2.0

open teaching sample

release_type=featured_module_open_teaching_sample · checksum_algorithm=sha256

Downloads

featured-module-overview.md (1311 bytes; SHA-256 pinned)
synthetic_reading_sessions.csv (118 bytes; SHA-256 pinned)
summarize_reading_sessions.py (1627 bytes; SHA-256 pinned)
expected-output.txt (258 bytes; SHA-256 pinned)
exercise-sheet.md (1282 bytes; SHA-256 pinned)
answer-guidance.md (1212 bytes; SHA-256 pinned)
errata-and-changelog.md (854 bytes; SHA-256 pinned)
manifest.json (generated integrity manifest)

Release overview

Featured Module Overview — Summarizing Synthetic Reading Sessions

Purpose

This open teaching sample shows how a statistics textbook companion can package a small dataset, a readable Python example, deterministic expected output, exercises, answer guidance, and an errata/changelog file as one versioned release.

Learning question

A fictional reading group records the number of minutes required to complete a short companion lesson and the score on a brief comprehension check. What descriptive summaries help a learner understand the sample before making any larger claims?

What is included

synthetic_reading_sessions.csv — eight invented observations, not student or customer data;
summarize_reading_sessions.py — an original Python standard-library example;
expected-output.txt — deterministic output for verification;
exercise-sheet.md — practice prompts for the reader;
answer-guidance.md — concise guidance for self-checking; and
errata-and-changelog.md — change notes for this release.

Boundary

This is a small open teaching sample created for the companion-code repository. It is not copied from PyStatsV1, does not represent a live NEKpress production portal, and does not require a purchase, login, payment, or upload of reader information.