Teaching

Statistics and Data Analysis

Important dates:

• Test: 28-11-2025
• Project 1 (CONSORT) deadline: 05-12-2025, see prof. Opara webpage
• Project 2 (bike manouvers) deadline: 12-12-2025, see prof. Opara webpage

1. Lab_01
   • Exemplary file: grades.csv
   • python, numpy and pandas short reminder: reminder.py
   • Lab-01: lab-01.pdf, Solutions: lab-01-solutions.py
2. Lab_02
   • Lab-02: lab-02.pdf, Solutions: lab-02-solutions.py
3. Lab_03
   • Solutions to L02_estimator_properties: list_02-solutions.py
   • Solutions to Quantile_accuracy: list_quantile_accuracy.py
4. Lab_04
   • Dataset iris iris.csv
   • Solutions to L05_correlations: list_05.py
   • Dataset brexit brexit.csv
5. Lab_05
   • Intro to testing: intro_test.pdf
   • Solutions to L11_Tests: list_11.py
   • Solutions to Tests_CEC: list_CEC.py
6. Lab_06
   • Solutions to L11_Tests: list_12.py
7. Lab_07
   • Hints to L06_ilumination: list_06_template.py
   • Hints to L08_vc: list_08_template.py
   • Regex reminder: regex.py
   • Hints to L14_NA: list_14_template.py

There are two projects to be done, but you are obliged to select and do only one of them. You can do it in groups up to 3 people.

1. Analysis of a paper describing an RCT according to the CONSORT 2010 Explanation and Elaboration document.
   • task: CONSORT task
   • paper to analyse: CONSORT paper
   • deadline: 5.12.2025
2. Practical data analysis: Bike manoeuvre detections.
   • task: Bike task
   • deadline: 12.12.2025