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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a key assumption of the Normal Distribution?
💡 Hint: Think about how data should spread around the average.
Question 2
Easy
What is an outlier?
💡 Hint: What happens when one value is very different from the rest?
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 key limitation of the Normal Distribution?
- a) It is applicable for all datasets
- b) It assumes data symmetry
- c) It ignores outliers
💡 Hint: Think about the shape of the graph!
Question 2
Outliers have little effect on the Normal Distribution.
- True
- False
💡 Hint: Recall how extreme scores can shift averages.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A dataset with normally distributed heights has a mean of 65 inches and a standard deviation of 3 inches. However, the dataset contains an unusually tall individual at 85 inches. Analyze how this outlier could impact the mean and standard deviation. Present your findings.
💡 Hint: Recall how outliers affect mean and spread!
Question 2
You are working with wait times for a bus that range from 0 to 20 minutes, but a data entry was mistakenly entered as 50 minutes. Discuss the implications of using the Normal Distribution in this scenario.
💡 Hint: Think about data in real-world limits.
Challenge and get performance evaluation