5 Reasons Why Statistics is So Hard to Learn

A neophyte’s self-reflection

Photo by charlesdeluvio on Unsplash

1. Randomness is unintuitive

2. Common sense doesn’t work

3. Statistical tests are “acausal”

  1. One unit change in X is positively associated with 2.3 units change in Y
  2. One unit increase in X causes/leads to/generates 2.3 units increase in Y

4. Lost in formulae and software functions

5. Fake datasets don’t inspire

Wrapping Up

  1. Appreciate the fact that the concepts that seem obvious to them (e.g., consequences of random sampling/assignment, the central limit theorem, etc.) may not seem obvious to a beginner
  2. Help students build an intuitive understanding of statistical reasoning using toy examples
  3. Save students from getting lost in formulae and software functions
  4. Use graphs to explain under what circumstances statistical association between two variables can be interpreted as a causal effect
  5. Empower students by teaching statistical tests on real-world datasets



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Vivekananda Das

Sharing synthesized ideas on Causal Inference, Data Analysis in R, Stat Literacy, and Wellbeing | Ph.D. candidate @UW-Madison | More: https://vivekanandadas.com