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Listening Quiz: Hiểu Về Các Giả Định Của Mô Hình Thống Kê – Advanced Level
Th4 29, 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 conversation mainly about?
The assumptions used in a statistical model and why they matter
How to interpret a graph of survey results
Ways to collect more data for a study
How to build a new statistical model from scratch
Explanation:
Anna explains the model assumptions, including independent errors, constant variance, and normal distribution, and Mark asks why they matter and how to check them.
2.
According to Anna, what does it mean for errors to be independent?
The errors must be easy to calculate
The errors always stay at the same value
Each error is caused by a different test
One error does not affect another
Explanation:
Anna says that independent errors mean one error does not affect another.
3.
What did Anna say about the variance of the errors?
It should always be zero
It should be constant
It should be larger than the average
It should decrease over time
Explanation:
Anna explains that the errors should have constant variance, meaning the spread of errors stays the same.
4.
Why does Anna say normal distribution is important?
It removes the need for tests and plots
It guarantees that errors are independent
It helps the model run faster
It helps them make valid conclusions
Explanation:
Anna directly says that normal distribution is important because it helps them make valid conclusions.
5.
How can they check the model assumptions?
By using tests and plots
By changing the data until it fits
By comparing the model to another model
By asking Mark to guess the errors
Explanation:
Anna says they use tests and plots to check the assumptions.
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