Lesson 2e.03

2e.03 Know that correlation does not necessarily imply causation and multiple factors may... Quiz: Pearson Edexcel Statistics, Unit 2

20 questions

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Lesson 2e.03, Know that correlation does not necessarily imply causation and multiple factors may...: 20 multiple choice questions for the Pearson Edexcel GCSE Statistics (1ST0), Unit 2: Processing, representing and analysing data, written with Revision Ninja.

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The 20 questions

  1. Correlation does not necessarily imply what?

    • Association
    • Causation
    • A direction
    • A trend
  2. What term describes a statistical relationship that is not causal?

    • Spurious correlation
    • Positive correlation
    • Linear regression
    • Interpolation error
  3. Why might car ownership and birth rate show a statistical correlation across cities?

    • Spontaneous generation
    • Random sampling
    • Direct causation
    • Population size
  4. What does it mean when multiple factors interact in a statistical study?

    • Zero correlation
    • Data corruption
    • Combined variables
    • Single causation
  5. What common factor typically links ice cream sales and sunburn cases?

    • Direct causation
    • Population size
    • Random chance
    • Hot weather
  6. What must be established before claiming that variable A causes variable B?

    • Scatter plot trend
    • Strong correlation
    • Large sample size
    • Controlled evidence
  7. What method is required to prove direct causation between correlated variables?

    • Controlled experimentation
    • Spearman rank test
    • Scatter diagram analysis
    • Line of best fit
  8. What common factor links shoe size and reading ability in children?

    • Age
    • Shoe brands
    • Reading speed
    • Foot growth
  9. What is a third variable that affects both measured variables called?

    • Confounding variable
    • Random variable
    • Control variable
    • Dependent variable
  10. Why must multiple factors be considered when interpreting data correlation?

    • Simple causation
    • Hidden influences
    • Linear scaling
    • Data cleansing
  11. What common factor usually links the number of firefighters and fire damage?

    • Weather conditions
    • Firefighter skill
    • Fire size
    • Equipment cost
  12. What term describes a hidden third factor affecting both correlated variables?

    • Control variable
    • Spurious variable
    • Confounding factor
    • Independent variable
  13. What does a significant correlation between two variables primarily justify?

    • Mathematical proof
    • Further investigation
    • Immediate rejection
    • Direct causation
  14. What crucial limitation does correlation fail to show regarding variables?

    • Numerical value
    • Direction of cause
    • Data spread
    • Sample size
  15. Why might a correlation between two variables disappear when a third variable is controlled?

    • Data became non-linear
    • The sample size doubled
    • Confounding variable removed
    • Interpolation failed
  16. What underlying group difference should be checked when comparing student laptop use and scores?

    • Room temperature
    • Shoe size
    • Eye colour
    • Prior attainment
  17. What alternative direction of relationship must be considered when variables correlate?

    • Data extrapolation
    • Reverse causation
    • Zero correlation
    • Linear regression
  18. Which action helps prevent mistaking a spurious correlation for direct causation?

    • Increasing font size
    • Removing outliers
    • Checking other variables
    • Rounding decimals
  19. What statistical concept is illustrated when crop yield depends on rainfall and fertiliser combined?

    • Multiple factors
    • Extrapolation error
    • Spurious correlation
    • Data interpolation
  20. What does a high correlation coefficient of 0.9 indicate about two variables?

    • Strong association
    • Zero relationship
    • Perfect independence
    • Proven causation

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