What percentage of hospitals provide at least some charity care? Based on a random sample of hospital reports from eastern states, the following information is obtained (units in percentage of hospitals providing at least some charity care): 57.3 55.5 53.3 65.5 59.0 64.7 70.1 64.7 53.5 78.2 Assume that the population of x values has an approximately normal distribution. (a) Use a calculator with mean and sample standard deviation keys to find the sample mean percentage x and the sample standard deviation s. (Round your answers to decimal place.) (b) Find a 90% confidence interval for the population average u of the percentage of hospitals providing at least some charity care. (Round your answers to one decimal place.) lower limit upper limit:

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**Title: Understanding Confidence Intervals in Healthcare Statistics**

**Introduction:**

In assessing the percentage of hospitals that provide at least some charity care, statistical data from a random sample of hospital reports from eastern states is utilized. The following percentages represent hospitals providing some level of charity care:

**Data:**  
57.3, 55.5, 53.3, 65.5, 59.0, 64.7, 70.1, 64.7, 53.5, 78.2

**Assumption:**  
The data distribution is approximately normal, allowing for standard statistical computations.

**Tasks:**

**(a) Calculate the Sample Mean and Standard Deviation**

To determine the average percentage of hospitals that offer charity care and understand the variability within the data, use a calculator to compute:

- **Sample Mean (\(\bar{x}\))**: This provides the average percentage.
- **Sample Standard Deviation (\(s\))**: This indicates the amount of variation from the mean.

**(b) Determine the 90% Confidence Interval**

Establish a range in which the true population mean is likely to fall, with a confidence level of 90%. This involves calculating:

- **Lower Limit**: The lower boundary of the confidence interval.
- **Upper Limit**: The upper boundary of the confidence interval.

**Conclusion:**

These calculations provide insights into the typical extent of charity care offerings among hospitals in the studied region, aiding in healthcare policy and planning. Understanding these statistics is vital for grasping how charity care is distributed and identifying areas for potential improvement.

*Note: Round all answers to one decimal place for uniformity and ease of interpretation.*
Transcribed Image Text:**Title: Understanding Confidence Intervals in Healthcare Statistics** **Introduction:** In assessing the percentage of hospitals that provide at least some charity care, statistical data from a random sample of hospital reports from eastern states is utilized. The following percentages represent hospitals providing some level of charity care: **Data:** 57.3, 55.5, 53.3, 65.5, 59.0, 64.7, 70.1, 64.7, 53.5, 78.2 **Assumption:** The data distribution is approximately normal, allowing for standard statistical computations. **Tasks:** **(a) Calculate the Sample Mean and Standard Deviation** To determine the average percentage of hospitals that offer charity care and understand the variability within the data, use a calculator to compute: - **Sample Mean (\(\bar{x}\))**: This provides the average percentage. - **Sample Standard Deviation (\(s\))**: This indicates the amount of variation from the mean. **(b) Determine the 90% Confidence Interval** Establish a range in which the true population mean is likely to fall, with a confidence level of 90%. This involves calculating: - **Lower Limit**: The lower boundary of the confidence interval. - **Upper Limit**: The upper boundary of the confidence interval. **Conclusion:** These calculations provide insights into the typical extent of charity care offerings among hospitals in the studied region, aiding in healthcare policy and planning. Understanding these statistics is vital for grasping how charity care is distributed and identifying areas for potential improvement. *Note: Round all answers to one decimal place for uniformity and ease of interpretation.*
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