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# What is the difference between grouped and ungrouped data?

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Grouped data is data that has been organized into classes. Grouped data has been classified and some data analysis has been done, which means this data is no longer raw. Un-grouped data has not been organized into groups. It is just a list of numbers. Continue Reading

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Credit: mikael altermark CC-BY 2.0

Grouped data is data that has been organized into classes. Grouped data has been classified and some data analysis has been done, which means this data is no longer raw. Un-grouped data has not been organized into groups. It is just a list of numbers. Learn more about Statistics

## Related Questions

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A mathematical outlier, which is a value vastly different from the majority of data, causes a skewed or misleading distribution in certain measures of central tendency within a data set, namely the mean and range, according to About Statistics. The affected mean or range incorrectly displays a bias toward the outlier value. The median and mode values, which express other measures of central tendency, are largely unaffected by an outlier.

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Calculate the weighted average of a data set using the formula w1x1 + w2x2 + … wnxn. It involves multiplying each number by its weight and then summing up their products. You need the data values, or x, and the data value's weights, or w.

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Chebyshev's theorem, or inequality, states that for any given data sample, the proportion of observations is at least (1-(1/k2)), where k equals the "within number" divided by the standard deviation. For this to work, k must equal at least 1. This theorem provides a way to know what percentage of data lies within the standard deviations from any data set.