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Confidence intervals

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What are Confidence Intervals (CI)

Interpretation of CI

CI are notoriously being misinterpreted. Altough in my opinion these interpretation are not too harmful but rather ignore some uncertainty that still exists after calculating CI’s. Once again in statistics it’s a good idea to not fully really on one criteria for making a test decision. Furthermore, this shows that at the end of every analysis there must be a human that makes the final decision. I would argue that statistical inference is about reduction of uncertainty in light of a decision rather than fully eliminating uncertainty and making a decision itself (this task must be made by a human).

Simulation

This can be simulated using R.

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oz@zrh: ~
QUICK DOSSIER · 30 SEC READ

OLIVER ZINGG

Psychologist and data scientist in Zürich. I design the study, model the data and explain what it means.

STATUS
Open to full-time data science roles from January 2027
NOW
Working student, data science & project management at Zurich Insurance (since Nov 2025)
THESIS
M.Sc. thesis (HSLU): leveraging double machine learning for robust decision-making, due December 2026
EDUCATION
M.Sc. Psychology (UZH, 5.6) · M.Sc. Applied Information & Data Science (HSLU, Dec 2026)
TOOLS
R, Python, SQL, Matlab · Power BI, Tableau · mixed models, ML, BERTopic

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