Question

Difficulty: MediumMulti-Statement Boolean Evaluation

The table below presents 2025 operational and patient triage metrics for seven regional emergency departments:

Hospital NameAnnual Patient Volume (thousands)Median Wait Time (min)Mean Treatment Duration (hrs)Left Without Being Seen (LWBS) Rate30-Day Readmission Rate
St. Jude Regional48243.51.8%4.2%
Metro Central85424.83.5%5.8%
Valley General62304.02.4%4.5%
Highland Medical35183.21.2%3.8%
Pinecrest Community28152.80.9%3.5%
University Health92485.24.1%6.2%
Riverside Care54283.82.1%4.9%

Evaluate whether the following statement is True or False:
"For every hospital with an annual patient volume exceeding 50,000, the ratio of Median Wait Time (in minutes) to Mean Treatment Duration (in hours) is strictly greater than 7.0."

Answer: Answer

Answer

True. All four hospitals with annual patient volume exceeding 50,000 have a wait-to-treatment duration ratio greater than 7.0.
Filtering the table for hospitals with annual patient volume exceeding 50 thousand isolates Metro Central, Valley General, University Health, and Riverside Care. Calculating the ratio of median wait time (minutes) to mean treatment duration (hours) yields 8.75, 7.50, 9.23, and 7.37 respectively. Because every single one of these values exceeds 7.0, the statement is True.

Step-by-Step Solution

1
Filter the dataset based on the volume condition.
Identified four hospitals with annual volume > 50k: Metro Central (85), Valley General (62), University Health (92), and Riverside Care (54).
The statement specifies a condition that applies only to hospitals with patient volume over 50 thousand.
2
Calculate the ratio of Median Wait Time (minutes) to Mean Treatment Duration (hours) for each qualifying hospital.
Metro Central = 8.75; Valley General = 7.50; University Health ≈ 9.23; Riverside Care ≈ 7.37.
Determines the exact numerical value of the ratio for each qualifying row.
3
Compare each calculated ratio to the threshold value of 7.0.
All four calculated ratios are strictly greater than 7.0.
Verifies whether the universal claim ('for every hospital...') holds true.

Key Concept

Multi-Statement Boolean Evaluation via Conditional Data Filtering and Ratio Analysis
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