find the amount a family would have spent to be in the 60th percentile. Round to the nearest dollar

To find the amount a family would have spent to be in the **60th percentile**, we need some additional information about the distribution of spending. This could include:

- A dataset or function describing the distribution of spending in the population.
- The mean, median, and standard deviation, if we are assuming a normal distribution.
- A table of percentiles for the given distribution.

Could you provide any of this data, or specify the distribution of family spending? Once we have that, we can compute the exact amount for the 60th percentile.

Let me know if you need more clarity, and I'll be happy to explain further.

### Here are 5 related questions to think about:
1. What is the average spending for families in this distribution?
2. How does the 60th percentile compare to the median spending?
3. What percentile would represent double the median spending?
4. How would spending at the 60th percentile compare to spending at the 80th percentile?
5. How does the standard deviation of spending affect percentile calculations?

### Tip: Percentiles are useful for understanding the position of a data point within a dataset; knowing more about the distribution helps interpret them better.

find the amount a family would have spent to be in the 60th percentile. Round to the nearest dollar.

Learn how to determine the amount a family would have spent to be in the 60th percentile. This problem covers concepts such as percentiles and the normal distribution. Includes tips for calculating the percentile using statistical data. Suitable for Grades 10-12 students.

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