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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define what an outlier is.
💡 Hint: Think of data points that stand out from the average.
Question 2
Easy
What does IQR stand for?
💡 Hint: It's a measure related to quartiles in a dataset.
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 is an outlier?
- A typical data point
- A data point that differs significantly
- A data point that is missing
💡 Hint: Consider what makes a data point stand out.
Question 2
True or False: A Z-Score above 3 indicates an outlier.
- True
- False
💡 Hint: Think about standard deviations from the mean.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a dataset of test scores: [55, 60, 70, 75, 80, 100, 200]. Apply both the IQR and Z-Score methods to detect outliers.
💡 Hint: Calculate Q1 and Q3 for IQR, and Z-Scores for the outliers.
Question 2
Consider a dataset of monthly incomes: [3500, 3600, 3700, 4000, 4200, 10000]. Discuss how you would handle the outlier at 10000.
💡 Hint: Consider business logic for whether the outlier is valid.
Challenge and get performance evaluation