Which measure is recommended to gauge how far on average data points fall from a central value in a symmetrical dataset?
Variance
Interquartile Range
Range
Standard Deviation
Standard Deviation (the square root of variance) provides a measure of spread in the same units as the data and is often preferred for symmetric distributions to assess typical variation around the mean. Variance, while related, remains in squared units, making its interpretation less intuitive. Range focuses only on the difference between the extreme values, and Interquartile Range highlights the middle portion of the data. Neither offers the comprehensive insight into typical variability provided by Standard Deviation.
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