Describe a scenario where model output data are not well


Different types of distributions In this model we used a mean and discussed how to use variance to characterize the results of multiple runs. This characterization assumes that the distribution of data can be described using these statistics. However, for some data, these statistics can be unhelpful or misleading. Describe a scenario where model output data are not well described by mean and variances. Why is it not possible to describe such a data set using these descriptive statistics? How would you describe this data set?

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Basic Computer Science: Describe a scenario where model output data are not well
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