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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is accuracy in data, and why is it important?
💡 Hint: Think about real-world applications of inaccurate data.
Question 2
Easy
Give an example of incomplete data.
💡 Hint: Consider any situations where you have seen incomplete forms before.
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 it mean for data to be accurate?
- Data is complete
- Data is error-free
- Data can be outdated
💡 Hint: Consider what makes data trustworthy.
Question 2
True or False: Completeness of data means there are no missing values.
- True
- False
💡 Hint: Imagine a report missing key figures.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are analyzing customer satisfaction data collected from surveys over the last two years. Some responses are missing and dated. Without taking actions, what impediments might arise in your analysis?
💡 Hint: Reflect on the decisions dependent on clear, full insights.
Question 2
Design a plan for ensuring the data collected in an upcoming survey remains accurate, complete, and relevant.
💡 Hint: Think about steps to pre-emptively address data quality.
Challenge and get performance evaluation