Statistics Iceberg Meme

Bar charts Pie charts Averages Scatterplots Percentiles Correlations Standard deviation Distributions Hypothesis testing T tests Confidence intervals Chi square tests F tests Simple linear regression One-way ANOVA Variable transformations Linear models Polynomial regression Interaction effects Categorical predictors Two-way ANOVA Multicollinearity Logistic regression (M)AN(C)OVA Nonparametric inference LASSO Factor analysis Kaplan-Meier Ridge Dimension reduction techniques (S)ARIMA Categorical data analysis Quasi-likelihood Generalized linear models SEM VAR(IMA) Hidden Markov models Canonical correlation Kalman filters Robust/M-estimators MCMC EM algorithm Spatial statistics Generalized linear mixed models Kernel estimators NARMA(X) Spline based methods Wavelets Extreme value theory Bayesian nonparametrics Nonlinear mixed models Causal inference Long memory processes Inference on graphs Dynamic Bayesian networks Topological data analysis Understanding p-values Inference on SPDE's Free probability Information geometry

A statistics iceberg meme shows increasingly advanced statistical methods arranged from the familiar surface topics to obscure and highly specialized concepts deep underwater. The stick figure on the right becomes progressively more disheveled and monstrous, turning the joke into a reaction to how overwhelming advanced statistics can become. It is commonly sent when someone discovers that a seemingly simple statistics topic has an enormous hidden theory behind it. EN: A statistics iceberg meme shows increasingly advanced statistical methods arranged from the familiar surface topics to obscure and highly specialized concepts deep underwater. The stick figure on the right becomes progressively more disheveled and monstrous, turning the joke into a reaction to how overwhelming advanced statistics can become. It is commonly sent when someone discovers that a seemingly simple statistics topic has an enormous hidden theory behind it.

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