Practice Limitations Of The Normal Distribution (20.8) - Normal Distribution

Practice: Limitations of the Normal Distribution

Lesson 20.8Normal Distribution

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9 questions

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6 sample questions

Question 1.
What is a key assumption of the Normal Distribution?
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Think about how data should spread around the average.
Question 2.
What is an outlier?
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What happens when one value is very different from the rest?
3Question 3.
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
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Think about the shape of the graph!
4Question 4.
Outliers have little effect on the Normal Distribution.
- True
- False
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Recall how extreme scores can shift averages.
Question 5.
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.
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Recall how outliers affect mean and spread!
Question 6.
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.
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Think about data in real-world limits.

5 more questions in this section. Enroll free to practise them all.