project: positional measures - questions

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Questions

  1. What are quartiles, and how are they calculated in a dataset? Provide an example using a dataset of weekly sales figures.

  2. Explain the concept of percentiles and their significance in data analysis. How would you find the 90th percentile in a dataset of test scores?

  3. What does the IQR tell you about a dataset, and how is it calculated? Illustrate its importance with a dataset that has outliers.

  4. How do quartiles differ from percentiles in terms of the information they provide about a dataset? Can you give an example where one is more useful than the other?

  5. How can positional measures like quartiles and percentiles be used to identify outliers in a dataset? Discuss this using a dataset of home prices.


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