![]() sum = n * mean, where n is the sample size. With respect to numerical values and the mean, the sum of the numerical values must equal the sample size times the mean, i.e. That’s the idea behind degrees of freedom. So basically, you had 4–1=3 Saturdays of freedom to choose an outfit - your outfit could vary. On the last Saturday of the month though, you’re left with only one outfit and you have to wear it whether you want to or not, whereas on the other Saturdays you had a choice. The next Saturday you can pick from three and the third Saturday you can pick from two. ![]() On the first Saturday, all four outfits are unworn, so you can pick any. You want to wear a new outfit every weekend of the month. Let’s say you like to go out every Saturday and you’ve just bought four new outfits. The degrees of freedom are essentially the number of independent values that can vary in a set of data while measuring statistical parameters.
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