• Type I error occurs in hypothesis testing when the null hypothesis is rejected even though it is true and should not be rejected.

  • The null hypothesis assumes that there is no causal relationship between the item being tested and the stimuli applied during the test.
  • A Type I error is a “false positive result” that leads to incorrectly rejecting the null hypothesis.