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Session 4 Quiz

Test What You Learned!

8 questions about Session 4: Comparing Datasets. Get 6+ right to pass!

How it works:

Progress

1

What makes a comparison fair?

  • Comparing big numbers to small numbers
  • Using the same measurement, scale, and conditions for both groups
  • Choosing the data that looks best
  • Comparing different things
2

What is a side-by-side bar chart?

  • Bars on top of each other
  • Two sets of bars paired by category for easy comparison
  • A very wide bar chart
  • Two separate graphs
3

Why does sample size matter when comparing groups?

  • It does not matter
  • Larger samples give more reliable results; small samples have more random variation
  • Only the biggest sample matters
  • Sample size only matters for surveys
4

What is cherry-picking in data?

  • Choosing fresh data
  • Selecting only the data that supports your argument and ignoring the rest
  • Picking the best graph type
  • Using red dots on a graph
5

Can two groups have the same mean but be very different?

  • No — same mean means same data
  • Yes — they could have different ranges and distributions
  • Only in special cases
  • The mean is always enough to compare
6

What does comparing ranges tell you?

  • Which group has more data
  • Which group is more spread out vs. more consistent
  • Which group is older
  • Nothing useful
7

'School A scores higher than School B.' What context do you need?

  • Nothing — the comparison is clear
  • School sizes, student demographics, how tests were given, and whether the difference is meaningful
  • Just the exact scores
  • Only the school names
8

What should you do if a difference between two groups is very small?

  • Declare it meaningful anyway
  • Consider whether it could be due to random chance
  • Ignore it completely
  • Make the graph bigger to make it look larger