~/blog/tutorials/statistics

Inferential Statistics

This section covers hypothesis testing, confidence intervals, and regression analysis.

Topics Covered

(Add topics here)

Prerequisites

Descriptive statistics and probability knowledge

Start learning!

Tutorial

Apr 11, 202612 min read

Central Limit Theorem

Almost no real-world data is Normal. Latency is right-skewed. Error counts are Poisson. Click rates are Bernoulli. Yet every classical statistical tool — t-test…

Tutorial

Apr 11, 202611 min read

Estimates and Estimators

You want to know a model's true generalization accuracy — its expected performance on all possible test inputs. You cannot observe this directly. You have six C…

Tutorial

Apr 11, 20269 min read

Hypothesis Testing

A model achieves 83.8% mean CV accuracy. The current baseline is 80%. Is 83.8% genuinely better, or is that 3.8-percentage-point gap noise from six folds? You c…

Tutorial

Apr 11, 202611 min read

P-Value

The p-value might be the most misunderstood number in statistics. It appears in every A/B test, every model evaluation, and every research paper — yet practitio…

Tutorial

Apr 11, 20269 min read

Z-Test

Historical benchmarks show the baseline model achieves 80% accuracy with known σ=0.05 (computed from millions of CV runs). Your new model achieves x̄=0.838 acro…