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Session 4 Quiz

Test What You Learned!

8 questions about Session 4: Sampling: Who Did You Ask?. Get 6+ right to pass!

How it works:

Progress

1

Why do we use sampling?

  • Because it is easier than thinking
  • Because we cannot study everyone in a large population
  • Because samples are always accurate
  • Because populations do not exist
2

What is a representative sample?

  • The biggest possible sample
  • A sample that reflects the variety and proportions of the whole population
  • A sample of your friends
  • Any sample with more than 100 people
3

What is random sampling?

  • Asking random questions
  • A method where every population member has an equal chance of being selected
  • Choosing people at random locations
  • Guessing who to survey
4

What is convenience sampling?

  • The most convenient graph type
  • Surveying whoever is easiest to reach, which often produces biased results
  • A sampling method that is always accurate
  • Sampling convenient store shoppers
5

What is survivorship bias?

  • Surviving a dangerous experiment
  • Only seeing successes and not failures, which distorts our understanding
  • A bias toward long-lived people
  • Living through biased data
6

What questions should you ask about any survey?

  • None — surveys are always accurate
  • How many, how selected, who was excluded, when conducted, who funded it?
  • Only how many people were surveyed
  • Just whether it was online
7

A survey of 50 people at a gym found 90% exercise regularly. Is this surprising?

  • Yes — most people exercise
  • No — the sample is biased because gym-goers already exercise more than average
  • Yes — 90% is very high
  • No — 50 is a big sample
8

What is margin of error?

  • The space around a graph
  • How much survey results might differ from the true population value
  • A mistake in the margin
  • The error in your math