Question

when looking at trends in data, we can often find ______ but often need additional data to determine ______.
○ why things are happening, how
○ causation, correlation
○ how things are happening, when
○ correlation, causation

question 2
1 pts
which of these is important when drawing conclusions from data?
○ considering multiple measures
○ questioning customer’s motives
○ hiding metadata from the user
○ writing one effective question

Explanation:

• For the first question: Correlation can be observed in data trends easily, but causation (a cause - effect relationship) requires more data.
• For the second question: Considering multiple measures helps in getting a comprehensive view when drawing conclusions from data. Questioning customer motives is not directly related to data - based conclusions in a general data - analysis context. Hiding metadata is unethical and bad for data interpretation. Writing one effective question is too limited as multiple aspects need to be considered.

Answer:

• First question: correlation, causation
• Second question: Considering multiple measures