Correlation & Causation - Pre Algebra

  1. Among children ages 5 to 12, shoe size and reading level are positively correlated. What is the lurking variable?
    Age. Older children tend to have both larger feet and higher reading levels.
  2. What kind of study can establish that one variable causes a change in another?
    A randomized controlled experiment, in which the researcher assigns the treatment at random.
  3. What type of correlation exists between the height of a burning candle and the time it has been burning?
    Negative correlation. As burning time increases, the candle's height decreases.
  4. Fires with more firefighters present tend to cause more damage. What is the better explanation than firefighters causing damage?
    Larger fires both require more firefighters and cause more damage; fire size is the lurking variable.
  5. What does it mean for two variables to have no correlation?
    There is no consistent tendency for one variable to increase or decrease as the other increases.
  6. What does the statement that correlation does not imply causation mean?
    Two variables that change together are not proven to have a cause-and-effect link. Something else may explain the pattern.
  7. What is a lurking (confounding) variable?
    A third variable that affects both variables being studied, which can create an association between them.
  8. Ice cream sales and the number of swimming accidents rise and fall together. What is the most likely lurking variable?
    Hot weather. Warm temperatures increase both ice cream sales and the number of people swimming.
  9. Hours of TV watched and test scores have a negative correlation. Which conclusion is justified: TV lowers scores, or students who watch more TV tend to score lower?
    Students who watch more TV tend to score lower. The correlation alone does not show that TV causes the lower scores.
  10. What does a positive correlation between two variables mean?
    As one variable increases, the other tends to increase as well.
  11. What does a negative correlation between two variables mean?
    As one variable increases, the other tends to decrease.

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