Some statistics, especially confidence interval calculation for hypergeometric and binomial distributions. While not really necessary, adding proper confidence intervals to graphs of population samples of certain natural language phenomena makes the graphs look more professional (and fitting more rigorous).
Learning as in “want to understand what’s going on and which equation to use”, not as in “being able to derive the equations with paper and pencil without external help”.
Some statistics, especially confidence interval calculation for hypergeometric and binomial distributions. While not really necessary, adding proper confidence intervals to graphs of population samples of certain natural language phenomena makes the graphs look more professional (and fitting more rigorous).
Learning as in “want to understand what’s going on and which equation to use”, not as in “being able to derive the equations with paper and pencil without external help”.