Measures of spread
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Topic summary
Measures of Spread
Measures of spread indicate how much variation or dispersion exists in a data set. Understanding the spread is crucial for interpreting data and assessing its reliability. The most common measures of spread are:Range
The range is the simplest measure of spread, calculated as the difference between the maximum and minimum values in a data set: \[\text{Range} = \text{Maximum} - \text{Minimum}\] For example, if the data set is \(\{3, 7, 5, 10, 2\}\), the range is: \[\text{Range} = 10 - 2 = 8\]Interquartile range (IQR)
The IQR measures the spread of the middle 50% of the data by calculating the difference between the upper quartile \(Q_3\) and the lower quartile \(Q_1\): \[\text{IQR} = Q_3 - Q_1\] The IQR is less affected by outliers compared to the range, making it a better measure of spread for skewed distributions.Interpercentile range
The interpercentile range measures the spread between two specified percentiles. For instance, the interpercentile range between the \(p\)-th percentile and the \(q\)-th percentile is calculated as: \[\text{Interpercentile range} = P_q - P_p\] Where \(P_q\) and \(P_p\) are the values at the \(q\)-th and \(p\)-th percentiles, respectively. This measure is useful for understanding the spread of data in relation to specific percentiles.Extra questions (ultimate exclusive)
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