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Applied statistics project on a synthetic dataset: data cleaning, hypothesis testing (parametric & non-parametric), effect sizes, correlation, and regression — with tested, modular Python code and a full Jupyter report.
This folder contains didactic material for the students of 'CAS 522 Dynamical Systems' (Instructor: Enrico Borriello - ASU, Fall B 2021). Come back at the end of each Module, for a sample solution to the coding problems.
This repository contains the code and data structure for the paper: "Improving Bovine Tuberculosis Surveillance Through Risk-Based Prioritization of Slaughterhouse-Triggered Trace-back Investigations".