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The question asks for the critical value required to create a 95% confidence interval for the average revenue per patient based on some sample data. Since it is a 95% confidence interval, we need the critical value for a standard normal distribution (Z-distribution) corresponding to 95% confidence.

For a 95% confidence level, the critical value (Z-score) is:

\[
Z_{\alpha/2} = 1.96
\]

This is the positive critical value for a 95% confidence interval.

Would you like more details on how to use this in calculating a confidence interval?

Here are some related questions:
1. What is a confidence interval and how is it calculated?
2. What does the critical value represent in the context of a confidence interval?
3. How would the critical value change for a 99% confidence interval?
4. What role does sample size play in determining the confidence interval?
5. How can we use a t-distribution for small samples when the population standard deviation is unknown?

**Tip:** Always use the Z-distribution for confidence intervals when the sample size is large and the population standard deviation is known; otherwise, consider thet-distribution for smaller samples or when the population standard deviation is unknown.

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. What critical value should you use? Only list the positive one (Canvas doesn't like listing both!)

Find out how to determine the critical value for a 95% confidence interval in statistics using the Z-distribution. This problem explores core concepts in confidence intervals and is essential for understanding statistical inference.

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