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Listening Quiz: Hiểu Về Tương Quan Và Quan Hệ Nhân Quả Trong Kinh Doanh – Advanced Level
Th6 11, 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 purpose of Sarah’s explanation?
To explain the difference between correlation and causation
To show how to increase advertising budgets
To argue that sales always follow advertising
To describe how to run a business experiment
Explanation:
Sarah says she wants to explain correlation and causation, and the conversation focuses on defining and distinguishing the two terms.
2.
According to Sarah, what does correlation mean?
One event makes the other happen
Two things happen together
Sales always rise after advertising increases
Experiments are needed to prove a result
Explanation:
Sarah directly defines correlation as two things happening together.
3.
What does Sarah say is needed to prove causation?
A simple comparison of two events
A larger advertising budget
Experiments or strong data
Strong sales reports
Explanation:
Sarah states that experiments or strong data are needed to prove causation.
4.
What can be inferred if sales increase whenever advertising increases, but no experiment has been done?
Sales increases must be unrelated to advertising
Sarah would say the business has already avoided mistakes
Advertising definitely caused the sales increase
The two events may be correlated, but causation is not proven
Explanation:
Sarah explains that events can happen together without one causing the other, and that proving causation requires experiments or strong data.
5.
Why does Sarah warn Daniel that confusing correlation with causation can be a problem?
Because it prevents sales from increasing
Because it proves advertising never works
Because it may lead to bad business decisions
Because it makes experiments unnecessary
Explanation:
Sarah says that if we confuse correlation with causation, we might make bad business decisions.
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