InIntuitionMathbyAerin KimChi Square Test — Intuition, Examples, and Step-by-Step CalculationThe best way to see if two variables are related.Feb 12, 20235Feb 12, 20235
InTowards Data SciencebyAerin KimP-value from scratch — Intuition, Examples, and Derivation[No more confusion] How to find a p-value and ultimately reject the null hypothesisApr 2, 202011Apr 2, 202011
InTowards Data SciencebyAerin KimPDF is not a probability.The probability density at x can be greater than one but then, how can it integrate to one?Aug 26, 201917Aug 26, 201917
InTowards Data SciencebyAerin KimWhat is Exponential DistributionIts derivations and examplesAug 6, 201915Aug 6, 201915
InTowards Data SciencebyAerin KimSum of Exponential Random VariablesDeriving the PDF of Erlang distributionAug 16, 20196Aug 16, 20196
InTowards Data SciencebyAerin KimPoisson Distribution Intuition (and derivation)When to use a Poisson Distribution?Jun 1, 201941Jun 1, 201941
InTowards Data SciencebyAerin KimBeta Distribution — Intuition, Examples, and DerivationWhen to use Beta distributionJan 8, 202025Jan 8, 202025
InTowards Data SciencebyAerin KimGamma Distribution — Intuition, Derivation, and Examplesand why does it matter?Oct 12, 201917Oct 12, 201917
InIntuitionMathbyAerin KimLet’s derive Chi-Squared PDF from normal distribution *intuitively*We can calculate the probability density function (PDF) of a random variable from its cumulative distribution function (CDF) using…Sep 10, 20171Sep 10, 20171
InIntuitionMathbyAerin KimWhy the Normal (Gaussian) PDF looks the way it doesAlthough this might not be the most rigorous derivation of the Gaussian PDF (Probability Density Function), this note might help you…Aug 24, 20173Aug 24, 20173
