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DSCI 100 Midterm Exam Questions And Verified Correct Answers Graded A+. $12.99   Add to cart

Exam (elaborations)

DSCI 100 Midterm Exam Questions And Verified Correct Answers Graded A+.

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Descriptive question - correct answer Asks about summarized characteristics of a data set without interpretation (report a fact) Exploratory question - correct answer Asks if there are patterns, trends, or relationships wi...

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  • October 4, 2024
  • 3
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • DSCI
  • DSCI
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RealGrades
DSCI 100 Midterm

Descriptive question - correct answer Asks about summarized characteristics of a
data set without interpretation (report a fact)



Exploratory question - correct answer Asks if there are patterns, trends, or
relationships within a single data set, often used to propose hypotheses for future study.



Predictive questions - correct answer Asks about predicting measurements or labels
for individuals, people or things, focus is on what things predict some outcome, but not what causes the
outcome



Inferential questions - correct answer Looks for patterns, trends, or relationships in
a single data set and also asks for quantification of how applicable these findings are to the wider
population



Causal questions - correct answer Asks about whether changing one factor will lead
to change in another factor, on average, in the wider population



Mechanistic questions - correct answer Asks about the underlying mechanism of
the observe, patterns, trends, or relationships (ex how does it happen?)



Summarization - correct answer Most often used to answer descriptive questions,
but sometimes can help with answering exploratory questions. Involves computing and reporting
aggregated values pertaining to a data set.



Visualization - correct answer Used to answer, descriptive and exploratory
questions, but also plays a critical role in answering all types of questions. Involves plotting data
graphically.



Classification - correct answer Used to answer, predictive questions. Involves
predicting a class or category for a new observation that has yet to be classified.

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