Sampling and Data | Introduction to Statistics |
Sampling and Data | Introduction to Statistics |
Apr 20, 2023
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Some data sets include values so high or so low that they seem to stand apart from the rest of the data. These data are called outliers. Outliers may represent data collection errors, data entry errors, or simply valid but unusual data values. It is important to identify outliers in the data set and examine the outliers carefully to determine if they are in error. One way to detect outliers is to use a box-and-whisker plot. Data values that fall beyond the limitsLower limit: Q1 − 1.5 ✕ (IQR)Uppe
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