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The range depends only on the two extreme values. It does not distinguish between the cases where the remaining values are all clustered around the middle, or all are at either extreme or are evenly spread out between the extremes, or distributed according to some other pattern.

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What is one drawback of using the range as a measure of variability?

One drawback of using the range as a measure of variability is that it only considers the extreme values in a dataset, which can be heavily influenced by outliers. This makes the range sensitive to fluctuations in the data, potentially providing a misleading representation of the overall spread. Additionally, it does not account for how data points are distributed within the range, leading to a lack of insight into the data's central tendency or variability.


What is a measure of the width of a distribution of a set of numbers that includes the range the iqr and standard deviation?

The width of a distribution can be measured using several metrics, including range, interquartile range (IQR), and standard deviation. The range provides the difference between the maximum and minimum values, while the IQR represents the spread of the middle 50% of the data, indicating variability without being affected by outliers. Standard deviation quantifies the average distance of each data point from the mean, offering insights into the overall dispersion of the dataset. Together, these measures provide a comprehensive view of the distribution's width and variability.


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The disadvantage of relying on authority is that it ultimately amounts to relying on the opinion of others. Opinions vary and opinions change.


Compare 468119 and 468191 using or?

Compare 468,119 and 468,191 us wing or =

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What is the primary disadvantage of using the range to compare the variability of data sets?

The range is very sensitive to outliers. Indeed if there are outliers then the range will be unrelated to any other elements of the sample.


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