Practice Handling Missing And Incorrect Data (6.4) - Data Exploration - CBSE 10 AI (Artificial Intelleigence)
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Handling Missing and Incorrect Data

Practice - Handling Missing and Incorrect Data

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a missing value?

💡 Hint: Think about data surveys.

Question 2 Easy

What is an outlier?

💡 Hint: Consider scores in a test.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the definition of missing values?

Data that is complete
Data that is absent or incomplete
Data that is accurate

💡 Hint: Consider what happens when data isn't fully recorded.

Question 2

True or False: An outlier is always a bad data point.

True
False

💡 Hint: Think about the valuable information outliers might reveal.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a dataset with 100 entries where 10 have missing values, describe an effective strategy to handle the missing values considering the distribution of your data.

💡 Hint: Check how the missing values affect the analysis.

Challenge 2 Hard

You find an outlier in your dataset that drastically alters the mean but not the median. Discuss how you should proceed and what factors to consider.

💡 Hint: Think critically about context and cause.

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