Which of the following best describes the degrees of freedom needed in a Chi-squared test for normality? $\begin{array}{|l|l|}
\hline \text { A. } & \text { Number of interval s used to test the hypothesis minus } 1 . \
\hline \text { B. } & \text { Number of parameters estimated minus 1. } \
\hline \text { C. } & \begin{array}{l}
\text { Number of interval s used to test the hyp othesis minus the number of parameters estimated } \
\text { minus 1. }
\end{array} \
\hline \text { D. } & \begin{array}{l}
\text { Number of interval s used to test the hypothesis minus the number of parameters estimated } \
\text { minus 2. }
\end{array} \
\hline
\end{array}$

Question

Quizplus · Accepted Answer

The Answer is C

Which of the Following Best Describes the Degrees of Freedom