ENSH 304 Notes: PYQ-First Chapter Framework
Project is organized around chapter pages, topic notes, formula recaps, solved PYQ variations, difficulty tags, and chapter metadata.
Source Coverage
- Context framework loaded from Context.md
- Course syllabus loaded from pyqs/syllabus.txt
- Past-question trend extraction loaded from pyqs/1.txt to pyqs/6.txt
- Agent rules respected from AGENTS.md and CLAUDE.md
Syllabus-Weighted Chapter Plan
| Chapter | Title | Hours | Marks | Status |
|---|---|---|---|---|
| Chapter 1 | Descriptive Statistics and Basic Probability | 6 | 10 | Detailed notes ready |
| Chapter 2 | Probability Distributions and Sampling Distribution | 14 | 15 | Detailed notes ready |
| Chapter 3 | Statistical Inference | 14 | 20 | Detailed notes ready |
| Chapter 4 | Correlation and Regression | 6 | 10 | Detailed notes ready |
| Chapter 5 | Statistical Quality Control | 5 | 5 | Detailed notes ready |
Chapter Pages
PYQ Priority Hotspots
- Chapter 3: confidence intervals, hypothesis testing, ANOVA, chi-square
- Chapter 2: binomial/poisson/negative binomial, normal, gamma, CLT numericals
- Chapter 4: Pearson correlation, least-squares regression, interpretation
- Chapter 1: Bayes theorem, conditional probability, box plot interpretation
- Chapter 5: p-chart and control-chart interpretation
Cross-Chapter Dependency Map
| From | Feeds Into | Dependency | Use Case |
|---|---|---|---|
| Chapter 1 | Chapter 2 | Basic probability laws, Bayes, summary statistics | Builds distribution and sampling work |
| Chapter 2 | Chapter 3 | Sampling distribution, CLT, standard error | Confidence intervals and hypothesis tests |
| Chapter 3 | Chapter 4 | Inference logic, significance, interpretation discipline | Regression significance and model reading |
| Chapter 3 | Chapter 5 | Decision thresholds, tail interpretation, control thinking | Control-chart action rules |
Timed Practice Targets
- Chapter 1: 20 minutes for the core set, 30 minutes for full revision.
- Chapter 2: 35 minutes for distribution selection and numericals.
- Chapter 3: 40 minutes for inference, especially ANOVA and tests of means.
- Chapter 4: 20 minutes for correlation and regression interpretation.
- Chapter 5: 15 minutes for control-chart logic and capability interpretation.
Revision Decision Tree
- Measurement or count? If measurement, think mean/SD, confidence interval, or control chart; if count, think probability model or chi-square.
- One sample or two? If one, use single-sample summary or test; if two, check whether the groups are independent or paired.
- More than two means? Use ANOVA, not repeated t-tests.
- Need a source after observing evidence? Use Bayes logic.
Note Writing Framework (Prepared)
- Fundamental Concepts
- Core Methods and Formulas
- Standard Models / Topics
- Applied Problem Solving
- System-Level Understanding
- Quick Reference
- Exam Tips
- Common Pitfalls
- Per-topic notes with use / not-use conditions
- Per-topic formula recap blocks
- At least two solved PYQs per major topic, with extra variations where needed
- Difficulty tags on problems: [Core], [Advanced], [PYQ-Trap]
- Marks breakdown, Difficulty type, Version / Last Updated, and Not in syllabus in chapter headers
- Seen-Before Check in exam tips for quick PYQ pattern matching
- Global dependency map and timed practice targets for revision
Ready Files for Phase 2
- content/overview-skeleton.md
- content/templates/chapter-template.md
- content/pyq/trend-map.md
- content/chapters/01-descriptive-statistics-basic-probability.md
- content/chapters/02-distributions-and-sampling.md
- content/chapters/03-statistical-inference.md
- content/chapters/04-correlation-and-regression.md
- content/chapters/05-statistical-quality-control.md
Math Rendering Convention (Ready)
Use inline math as $...$ and block math as $$...$$. Label distribution formulas clearly with the random variable and distribution name.
Math Structure Test
Inline example:
Integration
Power
Log With Subscript
Fractions