The following output from MINITAB presents the results of a hypothesis test for a population mean $\mu$.

Test of $\mathrm { mu } = 32$ vs. not $= 32$

$\begin{array}{lrrccrc}
\mathrm{N} & \text { Mean } & \text { StDev } & \text { SE Mean } & 95 \% \mathrm{CI} & \mathrm{T} & \mathrm{P} \
54 & 34.71 & 10.859387 & 1.477775 & (31.745937,37.674063) & 1.833838 & 0.0722
\end{array}$
How many degrees of freedom are there?
A)53
B)32
C)55
D)54

Question

The following output from MINITAB presents the results of a hypothesis test for a population mean $\mu$.

Test of $\mathrm { mu } = 32$ vs. not $= 32$

$\begin{array}{lrrccrc}
\mathrm{N} & \text { Mean } & \text { StDev } & \text { SE Mean } & 95 \% \mathrm{CI} & \mathrm{T} & \mathrm{P} \
54 & 34.71 & 10.859387 & 1.477775 & (31.745937,37.674063) & 1.833838 & 0.0722
\end{array}$
  How many degrees of freedom are there?
A)53
B)32
C)55
D)54

Quizplus · Accepted Answer

The degrees of freedom for a one-sample t-test are calculated as $n - 1$, where $n$ is the sample size. Here, $n = 54$, so the degrees of freedom are $54 - 1 = 53$.

The Following Output from MINITAB Presents the Results of a Hypothesis