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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does a box plot allow you to visualize?
💡 Hint: Think about what features are depicted in the box plot.
Question 2
Easy
What is considered an outlier in the Z-score method?
💡 Hint: Recall the relation of Z-scores to the mean.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What do box plots effectively show?
- Mean and mode
- Distribution and outliers
- Standard deviation
💡 Hint: Think of the key features of a box plot.
Question 2
True or False: A Z-score of 2 indicates an outlier.
- True
- False
💡 Hint: Recall the significance of Z-scores.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Using a provided dataset, create a function to detect outliers with Z-scores and IQR methods. Explain the findings.
💡 Hint: Utilize libraries like NumPy or Pandas for calculations.
Question 2
Analyze a dataset where some features have different distributions. Discuss how you would choose between Z-score and Isolation Forest methods.
💡 Hint: Think about the shortcomings of each method.
Challenge and get performance evaluation