Distributions & summary statistics(英文版)(ppt 25页)
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Practice Items:
1. What is an outlier?
An outlier is an observation in the data set that has values that are different than the rest of the distribution.
2. What do we look for when looking at the shape of a distribution?
Symmetric, skewed, how many modes, are outliers present.
3. What are some examples of skewed distributions?
Anything with either 0 or 100% as the ideal target; yield ideal target = 100%; contaminants ideal target = 0ppm; Salary, housing prices, high yielding processes.
4. Name the properties that describe a distribution.
Center, shape, and spread.
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