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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What defines an outlier in a dataset?
💡 Hint: Think about what you might consider unusual in data.
Question 2
Easy
Name one method for visualizing outliers.
💡 Hint: Consider graphical representations.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is an outlier?
💡 Hint: It’s something that stands out.
Question 2
True or False: Outliers should always be removed from datasets.
💡 Hint: Consider the context of the data.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
You have a dataset of students' test scores ranging from 50 to 80, but a score of 95 is included. Analyze how this outlier may affect the mean and median scores.
💡 Hint: Calculate the mean and median both with and without the outlier.
Question 2
You collect monthly rainfall data and find an unusually high value recorded. Discuss the implications of this outlier for climate analysis.
💡 Hint: Context is vital here—investigate possible causes.
Challenge and get performance evaluation