1) Think about a population mean that you may be interested in and propose a confidence interval problem for this parameter. Your data values should be approximately normal.
For example, you may want to estimate the population mean number of times that adults go out for dinner each week. Your data could be that you spoke with seven people you know and found that they went out 2, 0, 1, 5, 0, 2, and 3 times last week. You then would choose to calculate a 95% (or another level) confidence interval for the population mean.
Assume a random sample was chosen, which is required to determine a confidence interval.

2) Think about a population proportion that you may be interested in and propose a confidence interval problem for this parameter.
For example, you may like to estimate the population proportion of adults in the US who own SUVs. The data could be that you researched online by looking at a local dealership to find that 142 of the 432 vehicles sold are SUVs. You want to calculate a 90% (or another level) confidence interval for the population proportion. Assume a random sample.
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