👉 Bootstraps, also known as bootstrap confidence intervals or bootstrapped standard errors, are statistical methods used to estimate the variability of a sample statistic. They are particularly useful when the population from which the sample was drawn is not normally distributed and there are multiple samples being compared. In simple terms, "bootstraps" refer to the process of drawing a random sample from the original data set and then computing an interval estimate for the mean of that sample. These intervals are used to make inferences

bootstraps

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Slang Definition:

"Bootstraps" is a colloquial term that refers to the primary building blocks or foundations of various structures and systems, especially those made of wood or brick. It's often used in humor or satire as a satirical expression for something simple but strong.

Example Sentence with "Bootstraps": "So many people say 'bootstraps' when they're stressed out; that doesn't mean anything good comes from it." This humorous sentence is meant to mock the idea that stress can be solved with a single word. It highlights the absurdity of using such a common term in everyday communication.