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Listening Quiz: Xử Lý Các Giá Trị Ngoại Lai Trong Khoa Học Dữ Liệu – Advanced Level
Th5 14, 2025
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Nhà khoa học dữ liệu (English for Data Scientist)
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1.
What is the main topic of the conversation?
How to design a marketing campaign
How to train employees on office procedures
How to write a software program for data entry
How to handle outliers in a dataset
Explanation:
Laura and Paul discuss what outliers are and several ways to handle them in their dataset, including robust statistics, visualization, transformation techniques, and documentation.
2.
Which statistics do Laura and Paul mention as being less affected by outliers?
Median and IQR
Range and mode
Variance and percentage
Mean and standard deviation
Explanation:
Paul says that median and IQR are less affected by outliers.
3.
What does Paul say can help them decide the right method for dealing with outliers?
Using only one model for the analysis
Ignoring the outliers completely
Replacing all data points with averages
Investigating why the outliers exist
Explanation:
Paul explains that investigating the cause of the outliers can help them decide the right method.
4.
What can be inferred from the conversation about the outliers in the dataset?
They do not affect the model results at all
They should always be removed immediately
They may sometimes be errors and sometimes meaningful data
They are all caused by one known problem
Explanation:
Laura says that sometimes outliers are errors, but sometimes they are important signals, so the conversation implies they can have different meanings.
5.
What do Laura and Paul decide to do next?
Delete the dataset and start over
Stop using visualization tools
Test different methods and compare the model results
Publish the final report without changes
Explanation:
Laura suggests testing different methods and comparing the model results, and Paul agrees that this will show which approach works best.
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