3
Data Science
Unit 3 - Identifying Patterns
200+ practice questions available
Sample Practice Questions
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1
Easy
r = +1 means:
APerfect positive linear relationship
BNo relationship
CPerfect negative linear relationship
DRandom
2
Easy
Why is randomisation important in experiments?
AIt balances unknown confounders between groups
BIt always gives bigger samples
CIt is illegal otherwise
DIt removes the mean
3
Medium
If sample mean is normally distributed (CLT), the 95% interval for it is:
Ax̄ ± 2·SE (approximately)
Bx̄ ± SE
Cx̄ ± n
Dx̄ ± median
4
Medium
If you cannot replicate a 'pattern' in new data, the pattern was likely:
ASpurious or sample-specific
BAlways real
CPopulation-level
DUniversal
5
Hard
Spurious correlation from a confounder is best fixed by:
AConditioning on the confounder (regression with control variable)
BIgnoring the confounder
CIncreasing sample size
DUsing mode
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