VB
Vikas Bhardwaj
Medical Technologist, AIIMS New Delhi
Updated: Apr 17, 2026
**Core Concept**
The question requires determining the most suitable measure of central tendency (average) for a dataset with extreme values or outliers, which can skew the mean. In this case, the dataset has one significantly high value (5000), making the mean potentially unreliable.
**Why the Correct Answer is Right**
The presence of an outlier (5000) in the dataset makes the mean a poor choice for describing the average number of fluorosis cases. The mean is sensitive to extreme values and can be heavily influenced by outliers, leading to an inaccurate representation of the data. In contrast, the median and mode are more robust measures of central tendency and can provide a better representation of the data when there are outliers. The median is the middle value when the data is arranged in ascending order, making it less susceptible to the effects of outliers.
**Why Each Wrong Option is Incorrect**
**Option A:** The mode is the most frequently occurring value in the dataset. However, this option does not address the issue of outliers and may not accurately represent the data.
**Option B:** The mean is a sensitive measure of central tendency and can be heavily influenced by outliers. In this case, the mean would be skewed by the high value of 5000, making it an inappropriate choice.
**Option C:** The geometric mean is a type of average that is typically used for datasets with positive values. However, it is not the most suitable choice for this dataset, and the question does not provide information about the units of measurement.
**Clinical Pearl / High-Yield Fact**
When dealing with datasets that contain outliers, it's essential to consider using the median or mode as a measure of central tendency, as they are more robust and can provide a more accurate representation of the data.
**Correct Answer:**
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