# Güven Aralıkları

Canonical: https://manyspace.aporia.systems/tr/topics/confidence-intervals-mth-stats-216
Updated: 2026-10-13

Matematik · Statistics · MTH-STATS-216

- Zorluk: 3 / 5
- Önem: 5 / 5
- Çalışma süresi: 4–7.5 sa

z and t intervals, proportions, interpretation

## Neden önemli

Turning data into decisions under uncertainty; the quantitative backbone of business analytics, science and ML evaluation.

## Nerede kullanılır

A/B testing, market research, QC, clinical trials, customer analytics, experimentation platforms.

## Öğrendiğini nasıl anlarsın

Solve ≥10 representative problems with ≥80% adjusted accuracy.

## Önce neye ihtiyacın var

- [Örnek Uzaylar ve Olaylar](https://manyspace.aporia.systems/tr/topics/ornek-uzaylar-ve-olaylar-mth-prob-196) (gerekli)
- [Nokta Tahmini](https://manyspace.aporia.systems/tr/topics/nokta-tahmini-mth-stats-215) (gerekli)

## Neyi açar

- [Pazarlama Analitiği](https://manyspace.aporia.systems/tr/topics/pazarlama-analitigi-ent-mktg-095)
- [Hipotez Testleri](https://manyspace.aporia.systems/tr/topics/hipotez-testleri-mth-stats-217)
- [Statistical Significance and Confidence Intervals for Evaluation](https://manyspace.aporia.systems/tr/topics/statistical-significance-and-confidence-intervals-for-evaluation-aiml-eval-012)

## Kaynaklar

- Statistics (Freedman, Pisani & Purves) — Freedman, Pisani & Purves
- Statistics (Freedman, Pisani & Purves) — Freedman, Pisani & Purves
- The Elements of Statistical Learning — Hastie, Tibshirani & Friedman