Other questions in this quiz

2. What is a reason for paying more attention to P VALUES over effect sizes?

  • If you have controlled your experiment even small effects are interesting
  • Because small experimental biases can give rise to a high p if n is high, not a'real result'

3. What % of the American Association for the Advancement of Science consider ESP an established fact/likely possibility?

  • 71%
  • 1%
  • 29%
  • 45%

4. What is the Texas Sharpshooter Fallacy?

  • A post hoc definition of success. Not defining predictions before the experiment
  • Bad data are not included in the study and people being reluctant to publish negative results/replications
  • If you do lots of tests on a single dataset/multiple studies some will be signif only by chance. e.g probability of getting a posi result x 13 experiments...likely that one will be significant

5. What is a reason for paying more attention to EFFECT SIZES over p values?

  • Because small experimental biases can give rise to a high p if n is high, not a'real result'
  • If you have controlled your experiment even small effects are interesting

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