Day 4¶
Interview questions and worked review notes. Categories belong to individual questions; a day can contain more than one subject.
Questions¶
| Question | Topic | Status | Edited by |
|---|---|---|---|
| 1. Explaining Returns — Regression, Transformations, and Model Comparison | Statistics · Linear Regression | Three parts with answers | Charles |
| 2. Ten Topping Sundae | Combinatorics · Subsets | Solution available | Charles |
| 3. Painted Cube | Combinatorics · Spatial Reasoning | Solution available | Charles |
| 4. Spherical Coordinate Variance | Statistics · Symmetry | Solution and second-moment derivation | Charles |
| 5. King of Hearts | Probability · Conditioning | Solution available | Charles |
Ideas to revisit¶
- Distinguish normal predictors, conditional errors, and the sampling distribution of estimates.
- Explain what a log-return transformation changes before applying it.
- Compare marginal and conditional associations with a clear purpose.
-
Match standard errors to heteroskedasticity and time dependence.
-
Count subsets by size or by independent include/exclude choices.
- Use symmetry to derive second moments without assuming independence.
- State exactly which information a conditional probability uses.