👉 Jackknife is a statistical method used for comparing two or more sets of data, often when they contain different variables but are measured on the same scale (e.g., age, gender). It involves partitioning the original dataset into smaller subsets and then using the resulting partitions to estimate the differences between each pair of observations. The jackknife assumes that the difference between any two observations is independent from one another, making it a robust method for dealing with outliers or missing values.