What are Degrees of Freedom?
The degrees of freedom (DF) in statistics indicate the number of independent values that can vary in an analysis without breaking any constraints. It is an essential idea that appears in many contexts throughout statistics including hypothesis tests, probability distributions, and linear regression. Learn how this fundamental concept affects the power and precision of your analysis!
In this post, I bring this concept to life in an intuitive manner. You’ll learn the degrees of freedom definition and know how to find degrees of freedom for various analyses, such as linear regression, t-tests, and chi-square. I’ll start by defining degrees of freedom and providing the formula. However, I’ll quickly move on to practical examples in the context of various statistical analyses because they make this concept easier to understand.
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