To determine the most accurate generalization based on the given statistics in the table, let's analyze the data step-by-step.
1. Percent Supporting Obama:
- Men: 42%
- Women: 53%
2. Percent Supporting Romney:
- Men: 52%
- Women: 43%
Now, let's evaluate each of the possible generalizations:
1. Women are more likely than men to support Democrats (Obama):
- From the data, 53% of women support Obama, whereas only 42% of men support Obama.
- Since 53% > 42%, women are indeed more likely than men to support Democrats.
2. Women are more likely than men to support Republicans (Romney):
- From the data, 43% of women support Romney, whereas 52% of men support Romney.
- Since 43% < 52%, this generalization is not accurate.
3. Men voted in higher numbers than women:
- The table only provides percentages of support and does not provide data about the actual number of voters.
- We cannot determine the number of voters from the given percentages, so this statement can't be confirmed or refuted based on the table data.
4. Men are more likely than women to support Democrats (Obama):
- From the data, 42% of men support Obama, whereas 53% of women support Obama.
- Since 42% < 53%, this generalization is not accurate.
Based on the analysis, the accurate generalization is:
Women are more likely than men to support Democrats (Obama).
Therefore, the final generalizations can be summarized as follows:
- Women are more likely to support Obama (Democrats) than men.
- Men are more likely to support Romney (Republicans) than women.
