human
Compare relative frequencies in order to determine which prediction is likely to be more reliable A vegetarian restaurant wants to know people's eating habits
\( 50 \) people in Town \( A \) are asked if they eat meat. \begin{tabular}{|c|c|}
\hline \multicolumn{2}{|c|}{ Town A } \\
\hline Do you eat meat? & Frequency \\
\hline Yes & \( 39 \) \\
\hline No & \( 11 \) \\
\hline
\end{tabular} \( 200 \) people in Town B are asked if they eat meat. \begin{tabular}{|cc|}
\hline \multicolumn{2}{|c|}{ Town B } \\
\hline Do you eat meat? & Frequency \\
\hline Yes & \( 143 \) \\
\hline No & \( 57 \) \\
\hline
\end{tabular} Which results are more reliable? They are the same
gpt
Does not know that sample size affects reliability