Statistics

Branch of mathematics & techniques with which we can understand data.

• Central Tendencies - Understanding where the data is centered

  • mean - average of data. This is impacted by change of data
  • median - middle element of sorted data. Not impacted by change of data. Handle outliers
  • quantile - 25%, 50% & 75% of data
  • mode - most frequently occurring element.
  • dispersion - how spreadout your data is.
  • variance - sum of square distance from central tendency.
  • standard deviation - sqrt of variance

• Correlation

  • co-variance - how two variables vary in tandem from their means
  • Simpson's Paradox - Correlations can be misleading when cofounding variables are ignored

• Correlation and causation

  • correlation is not causation. x & y. both are correlated to each other. x can cause y & y can cause x. But, they can not be causing each other as well