To analyze the given data and derive the most accurate generalization, let's examine the statistics provided in the table:
[tex]\[
\begin{tabular}{|c|c|c|}
\hline
Gender & \begin{tabular}{c}
Percent \\
Supporting \\
Obama
\end{tabular} & \begin{tabular}{c}
Percent \\
Supporting \\
Romney
\end{tabular} \\
\hline
Men & 42\% & 52\% \\
\hline
Women & 53\% & 43\% \\
\hline
\end{tabular}
\][/tex]
1. Women are more likely than men to support Democrats (Obama).
- Percent supporting Obama: Men = 42%, Women = 53%
- Conclusion: Women have a higher percentage supporting Obama (53%) compared to men (42%).
2. Women are more likely than men to support Republicans (Romney).
- Percent supporting Romney: Men = 52%, Women = 43%
- Conclusion: Men have a higher percentage supporting Romney (52%) compared to women (43%).
3. Men voted in higher numbers than women.
- The table provides percentage values but not the actual number of voters. Therefore, we cannot determine the total number of voters for men and women based on this information alone.
4. Men are more likely than women to support Democrats (Obama).
- As seen earlier, women (53%) are more likely to support Obama compared to men (42%).
From the analysis above, the most accurate generalization based on the data is:
- Women are more likely than men to support Democrats (Obama).
Therefore, the correct answer is:
[tex]\[
\boxed{1}
\][/tex]
