In a survey of 2428 adults in a recent​ year, 1405 say they have made a New​ Year's resolution.

To analyze this data, we can calculate the proportion and percentage of adults who reported making a New Year's resolution.

1. **Proportion**:
   \[
   \text{Proportion} = \frac{\text{Number of adults who made a resolution}}{\text{Total number of adults surveyed}} = \frac{1405}{2428}
   \approx 0.5786
   \]
   So, approximately 57.86% of surveyed adults made a New Year's resolution.

2. **Percentage**:
   \[
   \text{Percentage} = 0.5786 \times 100 = 57.86\%
   \]

This result suggests that about 57.86% of adults surveyed had made a New Year's resolution that year.

Would you like more details on how these percentages can be interpreted, or perhaps how to calculate confidence intervals?

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Here are five related questions to expand on this concept:
1. What is the probability that a randomly selected adult from this survey made a New Year's resolution?
2. How would the percentage change if 50 more people reported making a resolution?
3. If we repeated this survey with 3000 adults, would we expect similar proportions?
4. How can confidence intervals be used to assess the reliability of this survey data?
5. What is the percentage of adults who did *not* make a New Year's resolution?

**Tip:** When dealing with survey data, calculating proportions and percentages helps quickly interpret the findings in a meaningful way.

In a survey of 2428 adults in a recent year, 1405 say they have made a New Year's resolution.

Explore how to calculate the proportion and percentage of adults who made a New Year's resolution based on survey data of 2428 adults, with 1405 reporting they had made a resolution. This problem covers key concepts such as proportion, percentage, and basic probability, suitable for students in Grades 7-9.

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