Practice Using IQR Method - 5.7.1 | Data Cleaning and Preprocessing | Data Science Basic
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does IQR stand for?

💡 Hint: Remember, it relates to quartiles.

Question 2

Easy

What are the lower and upper bounds for outliers?

💡 Hint: Think about how we determine the range for outliers.

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 does the IQR represent in a dataset?

  • The average
  • The middle 50% data spread
  • The max value

💡 Hint: Remember, it's about the 25th and 75th percentiles.

Question 2

True or False: Outliers can never have a significant impact on data analysis?

  • True
  • False

💡 Hint: Consider how extreme values affect averages.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a dataset: [10, 12, 38, 40, 42, 49, 50, 52, 56, 60, 110]. Calculate the IQR and identify the outliers.

💡 Hint: Always start by sorting the data.

Question 2

In a classroom of test scores [65, 70, 75, 80, 85, 90, 95, 100, 105, 10], identify the outliers using the IQR method.

💡 Hint: Look for points that sit outside the calculated bounds.

Challenge and get performance evaluation