The degrees of freedom in a chi-squared test for normality, where the number of standardised intervals is 13 and there are 2 population parameters to be estimated from the data, is equal to: $\begin{array}{|l|l|}
\hline\text { A. } & 13 . \
\hline \text { B. } & 10 \
\hline \text { C. } & 11 \
\hline \text { D. } & 2 . \
\hline
\end{array}$

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The Answer of The degrees of freedom in a chi-squared test for normality, where the number of standardised intervals is 13 and there are 2 population parameters to be estimated from the data, is equal to: $\begin{array}{|l|l|}
\hline\text { A. } & 13 . \
\hline \text { B. } & 10 \
\hline \text { C. } & 11 \
\hline \text { D. } & 2 . \
\hline
\end{array}$

The Degrees of Freedom in a Chi-Squared Test for Normality