Think about the type of data collected in the following situation: A hospital collects information about how long it takes nurses to respond to a room call. What is the parameter of interest? The average time it takes all nurses in the hospital to respond to a room call The total number of room calls included in the survey The percent of room calls that took too long The average response time to the room calls included in the collected data

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In the given situation, the hospital is collecting data on the response times of nurses to room calls. Let's analyze the options provided to identify the parameter of interest:

1. **The average time it takes all nurses in the hospital to respond to a room call**: This option represents a population parameter, as it refers to the average response time for all nurses in the hospital, which is likely the ultimate goal of the data collection.

2. **The total number of room calls included in the survey**: This is a count of the data points collected but does not represent a parameter of interest regarding response times.

3. **The percent of room calls that took too long**: This is a derived statistic that could be of interest, but it does not directly address the average response time.

4. **The average response time to the room calls included in the collected data**: This is a sample statistic based on the collected data, but it does not represent the overall average for all nurses in the hospital.

Given this analysis, the parameter of interest is:

**The average time it takes all nurses in the hospital to respond to a room call.**

This parameter reflects the overall performance of the nursing staff in terms of response time, which is likely the primary concern for the hospital.
The parameter of interest is the average time it takes all nurses in the hospital to respond to a room call.

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