Association of Clinical Research Professionals (ACRP) Certified Professional Practice Exam

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Prepare for the ACRP Certified Professional Exam with our comprehensive quiz. Elevate your clinical research skills with targeted flashcards and multiple-choice questions. Enhance your readiness with detailed explanations and insights for improved performance!

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What does a wider Confidence Interval (CI) indicate about data variability?

Less variability
No variability
More variability
Stable data

The correct answer is: More variability

A wider Confidence Interval (CI) indicates more variability in the data. The Confidence Interval represents the range of values within which we can expect the true population parameter to lie, with a specified level of confidence (commonly 95%). When the CI is wide, it signifies that there is greater uncertainty about the estimate of the parameter, reflecting a larger spread of the data points. This could be due to high variability within the data collected, insufficient sample size, or both. As the variability in the data increases, the range of values that could represent the true parameter also increases, resulting in a wider CI. Thus, a wider CI is an important consideration in statistical analysis, as it can provide insights into the reliability and precision of the estimates derived from the sample data.