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Degrees of freedom (df) typically refers to the number of independent values or quantities that can vary in a statistical analysis. In the context of a 95% confidence level, degrees of freedom are often associated with sample size in t-tests or ANOVA. For instance, in a t-test, df is calculated as the sample size minus one (n - 1). Thus, to determine the specific degrees of freedom for a 95% confidence interval, you would need to know the sample size involved in your analysis.

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