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The lower bound of the 95% confidence interval for the average revenue per patient is approximately **337.65 dollars**.

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Here are some related questions for further understanding:
1. How is the confidence interval calculated for a given confidence level?
2. What is the difference between the t-distribution and the normal distribution in confidence intervals?
3. How does the sample size affect the confidence interval width?
4. What are the key assumptions in calculating confidence intervals?
5. How can you interpret the results of a confidence interval in practical terms?

**Tip:** Confidence intervals give a range of plausible values for the population mean, with a certain level of confidence, based on sample data.

You wish to determine the average revenue per patient for your new urgent care center. To get a reasonable range, you wish to create a 95% confidence interval for this average from some sample data. Given the generated sample data provided below (dollars per patient), what is the low number of the confidence interval?

Learn how to calculate the lower bound of a 95% confidence interval for the average revenue per patient in an urgent care center. Using sample data and statistical concepts like the Central Limit Theorem, this example covers confidence intervals and their interpretation.

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