Let's start by analyzing the data 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]
From the table, we have the following statistics:
- For men: 42% support Obama, and 52% support Romney.
- For women: 53% support Obama, and 43% support Romney.
Now, let's analyze each option:
1. Women are more likely than men to support Democrats (Obama).
- According to the table, 53% of women support Obama compared to 42% of men. This indicates that a higher percentage of women support Obama than men. Therefore, this statement is accurate.
2. Women are more likely than men to support Republicans (Romney).
- According to the table, 43% of women support Romney compared to 52% of men. This indicates that a higher percentage of men support Romney than women. Therefore, this statement is not accurate.
3. Men voted in higher numbers than women.
- The provided data gives percentages, not absolute numbers, of support for Obama and Romney. There is no information given about the total number of men and women who voted, so this statement cannot be verified based on the provided data.
4. Men are more likely than women to support Democrats (Obama).
- According to the table, 42% of men support Obama compared to 53% of women. This indicates that a higher percentage of women support Obama than men. Therefore, this statement is not accurate.
Based on the analysis, the most accurate generalization, based on the table, is:
Women are more likely than men to support Democrats (Obama).
