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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data preparation?
π‘ Hint: It's the first step before any analysis.
Question 2
Easy
Name one measure of central tendency.
π‘ Hint: It helps summarize data.
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 the goal of data preparation?
π‘ Hint: Think about what a clean dataset means.
Question 2
True or False: Inferential statistics only describe the characteristics of data.
π‘ Hint: Consider what inferences can be drawn.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
You are analyzing a dataset that contains numerous outliers. Discuss potential methods to handle outlier data and their implications for your analysis.
π‘ Hint: Consider how outliers affect the overall dataset.
Question 2
How would you illustrate the concept of regression analysis to a non-technical audience using a real-life scenario?
π‘ Hint: Think about a clear analogy or relatable example.
Challenge and get performance evaluation