Practice Dealing with Outliers - 2.6 | 2. Data Wrangling and Feature Engineering | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is an outlier?

💡 Hint: Think about values that stand out in a dataset.

Question 2

Easy

Name one method for detecting outliers.

💡 Hint: Consider visual methods.

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 a possible sign of an outlier in a box plot?

  • A dot outside the whiskers
  • A large number
  • An exact mean

💡 Hint: Visualize a box plot.

Question 2

True or False: Using Z-scores requires knowledge of the mean and standard deviation.

  • True
  • False

💡 Hint: Remember what Z-scores quantify.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a dataset of house prices with values ranging from $150,000 to $1,500,000, how would you detect and treat outliers? Discuss your approach.

💡 Hint: Consider both visual and statistical methods for identifying outliers.

Question 2

You are working with a dataset that has performance metrics for a sales team. If one representative has far higher sales than the others, how would you address this? Discuss the analysis and treatment options.

💡 Hint: Think about the implications of removing or treating an outlier in the analysis.

Challenge and get performance evaluation