Other questions in this quiz

2. 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

3. What % of predictions are used in cancer biology?

  • 10%
  • 100%
  • 11-25%
  • 75%

4. What is the file drawer problem?

  • 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
  • A post hoc definition of success. Not defining predictions before the experiment

5. In the Princeton Engineering Anomalies Research (PEAR), why is RNG necessary for ESP work?

  • Because computers can only generate pseudo-random numbers
  • Because the numbers need to be manipulable and controlled
  • To eliminate experimentor bias

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