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probability-and-statistics

27
Dec
Probability & Statistics - The Axioms of Probability

Probability & Statistics - The Axioms of Probability

Kolmogorov’s axioms provide the rigid mathematical rules that all probabilities must obey. We’ll explore how the principles of non-negativity, normalization, and additivity ensure that our probability models remain consistent, logical, and mathematically sound.
8 min read
27
Dec
Probability & Statistics - Sample Spaces and Events

Probability & Statistics - Sample Spaces and Events

The foundation of probability lies in set theory. We define the sample space as the set of all possible outcomes, while events are specific subsets. Understanding unions, intersections, and complements is crucial for quantifying real-world uncertainty.
7 min read