Which of the Following Best Describes the Degrees of Freedom

Short Answer

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