In a one-rample $$ t $$ test, the $$ d f $$ is $$ (n-1) $$ because multiple parameters need to be estimated requirin

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The degrees of freedom (df) in a one-sample $$ t $$ test is $$ n - 1 $$ because one parameter (the sample mean) is estimated from the data, reducing the number of independent pieces of information for variability estimation.

In a one-rample \( t \) test, the \( d f \) is \( (n-1) \) because multiple parameters need to be estimated requirin

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In a one-rample \( t \) test, the \( d f \) is \( (n-1) \) because multiple parameters need to be estimated requirin

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