How does the interquartile mean provide a measure of central tendency that is resistant to outliers?
- By focusing on the data between the first and third quartiles
- By focusing only on the highest values in the data
- By focusing only on the lowest values in the data
- By ignoring all outlier values
The interquartile mean focuses on the data between the first quartile (25th percentile) and the third quartile (75th percentile), excluding the lowest 25% and the highest 25% of data points. This makes it less influenced by outliers and extreme values, hence a more robust measure of central tendency for skewed or asymmetrical distributions.
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