Which of the following methods can be employed to detect outliers in continuous data features? a) Z score method b) Chi-square method c) Fisher's exact test d) Mann-Whitney U test
Understand the Problem
The question is asking which methods can be used to detect outliers in continuous data features. It lists several statistical methods, and the goal is to identify which of these methods are appropriate for outlier detection.
Answer
Z score method
The methods that can be employed to detect outliers in continuous data features are the Z score method.
Answer for screen readers
The methods that can be employed to detect outliers in continuous data features are the Z score method.
More Information
The Z score method is a popular statistical test used for identifying outliers in continuous data by determining how many standard deviations a data point is from the mean.
Tips
A common mistake is to confuse tests used for identifying outliers with those used for comparisons between groups or distributions, such as the Chi-square, Fisher's exact test, and Mann-Whitney U test.
Sources
- How to Find Outliers | 4 Ways with Examples & Explanation - scribbr.com
- Top 5 Outlier Detection Methods Every Data Enthusiast Must Know - dataheroes.ai
