📅 2024-09-10 — Session: Refined Statistical Analysis for Job Tenure
🕒 15:55–18:35
🏷️ Labels: Statistical Analysis, Weibull Model, Job Tenure, Education, Manual Calculation
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal: The session aimed to refine statistical analysis questions related to job tenure, focusing on the effects of education, sector, and gender using a Weibull distribution and log-linear model.
Key Activities:
- Enhanced statistical questions to focus on the relative magnitudes of coefficients in Weibull hazard models.
- Improved answer options for a seller’s pricing strategy by incorporating nuanced reasoning.
- Refined research questions to emphasize the effects of education, sector, and gender on job tenure.
- Adjusted statistical questions for manual interpretation, ensuring they can be solved without coding.
- Simplified log-likelihood calculations for job tenure analysis using manual methods.
- Examined the Weibull distribution’s probability density function in log-linear models.
- Estimated coefficients in log-linear Weibull models using mean log-durations across categories.
- Updated tables of education sector counts and durations for clarity.
Achievements:
- Developed a structured approach to analyzing job tenure effects using Weibull distribution models.
- Provided detailed explanations and templates for manual calculations to enhance understanding.
Pending Tasks:
- Further validation of the refined statistical models with additional data.
- Exploration of alternative statistical models to compare results.