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Statistics for Everyday Life

The Statistician's Toolkit quiz

14 questions on The Statistician's Toolkit, graded instantly with an explanation for every answer. Free and no sign-up — your best score is saved on this device. Want to study first? Read the The Statistician's Toolkit lessons.

The Statistician's Toolkit — Module Assessment

14 questions · pass mark 75%

  1. 1.A t-test primarily answers the question:
  2. 2.A very large sample can make a t-test result 'statistically significant' even when the difference is:
  3. 3.The chi-square test is designed for:
  4. 4.A significant chi-square result tells you there is an association, but not:
  5. 5.Compared with a simple correlation, multiple regression additionally lets you:
  6. 6.'Regression to the mean' refers to the tendency for:
  7. 7.Why not just run a separate t-test on every pair of many groups?
  8. 8.ANOVA works by comparing:
  9. 9.An effect size, unlike a p-value, tells you:
  10. 10.The American Statistical Association's 2016 statement warned that a p-value:
  11. 11.Rank-based nonparametric tests are especially useful when data:
  12. 12.When the standard assumptions roughly hold, classic tests (t-test, ANOVA) are often:
  13. 13.The best starting point for choosing a statistical method is:
  14. 14.Choosing the correct test is only 'half the job' because:
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