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Outlier Detection Quiz

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1. What is the primary purpose of outlier detection in data analysis?

2. Which method calculates the distance between a point and the nearest cluster center to detect outliers?

3. What is a common method for detecting outliers in a univariate dataset?

4. What does a Z-score higher than 3 or lower than -3 usually indicate in the context of outlier detection?

5. For which type of data would the Interquartile Range (IQR) method be most appropriate for detecting outliers?

6. In the context of outlier detection, what is the significance of using a Box Plot?

7. Which of the following is true regarding the application of Principal Component Analysis (PCA) in outlier detection?

8. In outlier detection, which method uses visual inspection to identify anomalies?

9. What criterion does the Mahalanobis distance use to identify outliers in multivariate data?

10. Why is it important to detect and address outliers in machine learning datasets?