Outliers We know many types of data fall into a normal distribution.pdf
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The document discusses the concept of outliers in data, emphasizing that they are observations that differ significantly from the rest of the sample. It notes that outliers can occur in non-normally distributed populations or small samples and encourages the consideration of real-world examples. The effect of outliers on data interpretation is highlighted as a key point.
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Outliers We know many types of data fall into a normal distribution.pdf
- 1. Outliers: We know many types of data fall into a normal distribution with most of the observations falling toward the middle. However, sometimes data are outliers or data that are very different -larger or smaller- from the rest of the members of the sample. Think of an example in the real world of an outlier and discuss its effect. Solution Outliers may be appears in the parent population is non-normal or for small samples. in real world many of the examples can be seen.