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Listening Quiz: Bảo Vệ Phân Tích Thống Kê Dữ Liệu Vật Lý – Easy Level
Th1 2, 2025
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Nhà vật lý học (English for Physicist)
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1.
What are Paul and Sarah mainly discussing?
The budget for a science project
A research paper about astronomy observations
A statistical analysis method for physics data
The schedule for a laboratory experiment
Explanation:
Paul explains the data analysis method, including linear regression, outlier removal, cross-validation, error bars, and prediction on new data.
2.
What main method did Paul say they used?
A manual calculation of averages
A linear regression model
A survey of student opinions
A computer simulation of weather
Explanation:
Paul directly states, ‘We used a linear regression model.’
3.
How did Paul test the model’s accuracy?
By comparing it to weather forecasts
By using cross-validation techniques
By repeating the experiment several times
By asking a second researcher to review it
Explanation:
Paul says, ‘We used cross-validation techniques’ to test accuracy.
4.
What did Paul do about errors in the data?
He replaced them with estimated averages
He ignored them because they were small
He removed outliers carefully
He asked Sarah to correct them
Explanation:
When Sarah asks about errors, Paul says they removed outliers carefully.
5.
What can be inferred about Paul’s results?
They are likely reliable for future use
They were based on a random guess
They depend only on one data point
They were not checked for uncertainty
Explanation:
Paul says the model predicts well on new data, which supports the idea that the results are reliable for future use.
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